WO2002073877A2 - System and method of user and data verification - Google Patents

System and method of user and data verification Download PDF

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Publication number
WO2002073877A2
WO2002073877A2 PCT/US2002/007517 US0207517W WO02073877A2 WO 2002073877 A2 WO2002073877 A2 WO 2002073877A2 US 0207517 W US0207517 W US 0207517W WO 02073877 A2 WO02073877 A2 WO 02073877A2
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WO
WIPO (PCT)
Prior art keywords
secure device
message
digital signature
generating
biometric information
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Application number
PCT/US2002/007517
Other languages
French (fr)
Other versions
WO2002073877A3 (en
Inventor
Pascal Brandys
Original Assignee
Pascal Brandys
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Pascal Brandys filed Critical Pascal Brandys
Priority to AU2002248604A priority Critical patent/AU2002248604A1/en
Publication of WO2002073877A2 publication Critical patent/WO2002073877A2/en
Publication of WO2002073877A3 publication Critical patent/WO2002073877A3/en

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Classifications

    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07FCOIN-FREED OR LIKE APPARATUS
    • G07F7/00Mechanisms actuated by objects other than coins to free or to actuate vending, hiring, coin or paper currency dispensing or refunding apparatus
    • G07F7/08Mechanisms actuated by objects other than coins to free or to actuate vending, hiring, coin or paper currency dispensing or refunding apparatus by coded identity card or credit card or other personal identification means
    • G07F7/10Mechanisms actuated by objects other than coins to free or to actuate vending, hiring, coin or paper currency dispensing or refunding apparatus by coded identity card or credit card or other personal identification means together with a coded signal, e.g. in the form of personal identification information, like personal identification number [PIN] or biometric data
    • G07F7/1008Active credit-cards provided with means to personalise their use, e.g. with PIN-introduction/comparison system
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/30Payment architectures, schemes or protocols characterised by the use of specific devices or networks
    • G06Q20/34Payment architectures, schemes or protocols characterised by the use of specific devices or networks using cards, e.g. integrated circuit [IC] cards or magnetic cards
    • G06Q20/341Active cards, i.e. cards including their own processing means, e.g. including an IC or chip
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q20/00Payment architectures, schemes or protocols
    • G06Q20/38Payment protocols; Details thereof
    • G06Q20/40Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
    • G06Q20/409Device specific authentication in transaction processing
    • G06Q20/4097Device specific authentication in transaction processing using mutual authentication between devices and transaction partners
    • G06Q20/40975Device specific authentication in transaction processing using mutual authentication between devices and transaction partners using encryption therefor
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/32Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
    • H04L9/3226Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials using a predetermined code, e.g. password, passphrase or PIN
    • H04L9/3231Biological data, e.g. fingerprint, voice or retina
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/32Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
    • H04L9/3234Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials involving additional secure or trusted devices, e.g. TPM, smartcard, USB or software token
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/32Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
    • H04L9/3247Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials involving digital signatures
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/32Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
    • H04L9/3263Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials involving certificates, e.g. public key certificate [PKC] or attribute certificate [AC]; Public key infrastructure [PKI] arrangements
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L2209/00Additional information or applications relating to cryptographic mechanisms or cryptographic arrangements for secret or secure communication H04L9/00
    • H04L2209/56Financial cryptography, e.g. electronic payment or e-cash

Definitions

  • the invention relates to the conversion of physical or biological signatures into digital signatures. More particularly, the invention relates to generating digital signatures using biometric identification.
  • Public-key cryptography is a computer security technology that can support the creation of electronic document systems, providing that the user's digital signature on an electronic document, i.e., the user's electronic authentication and verification of the electronic document, can be given sufficient practical and legal meaning.
  • Biometrics is the measure of an individual's body or behavior in order to identify or verify the individual's identity. Biometrics provides for new ways to identify a user with his fingerprint, voiceprint, iris scan, facial picture, hand geometry or various other unique features of his body or behavior. Biometric measurement data, albeit subject to statistical variations, is nevertheless conventionally used to verify the identity of individuals. Typical methods used are based on statistical hypothesis testing where an individual's biometric measurements are stored at the time of "enrollment”. Then, during "verification", biometric measurements are taken again and compared to the stored measurements. Various algorithms can be used to convert the measurements into mathematical representations and accept a range of biometric data. This conversion and statistical analysis is useful because sequential biometric measurements have a range for any one individual, especially when taken at different times and places using even slightly different equipment.
  • the system should analyze biometric information as provided by the user as part of the authentication process.
  • the system should also include features to safeguard the keys that are used in the authentication process.
  • Figure 1 is a block diagram illustrating certain components of a smart card embodiment of a portable encryption device.
  • Figure 2 is a block diagram illustrating the functional modules and data involved in an enrollment process that is performed by the smart card of Figure 1.
  • Figure 3 is a block diagram illustrating the functional modules and data involved in a signing process that is performed by the smart card of Figure 1.
  • Figure 4 is a flowchart illustrating an exemplary process of registering biometric information with the portable encryption device of Figure 1.
  • Figure 5 is a flowchart illustrating an exemplary process of generating and authenticating a message using the portable encryption device of Figure 1.
  • One aspect of the invention comprises a method of generating digital signature, the method comprising: generating public and private keys on a secure device, storing biometric information indicative of a user on the secure device, receiving biometric information indicative of the user, and comparing the stored biometric information with the received biometric information on the secure device, and if the comparison is successful, generating a digital signature for a message.
  • the secure device is portable.
  • the secure device is a smart card.
  • Another aspect of the invention comprises a method of generating a digital signature, the method comprising registering biometric information in a secure device and generating public and private keys on the secure device in conjunction with the biometric information.
  • the digital device may include a unique device identifier which is used for key generation.
  • Yet another aspect of the invention comprises a secure device for generating a digital signature, the device comprising: a module for generating public and private keys on a secure device, a module for storing biometric information indicative of a user on the secure device, a module for receiving biometric information indicative of the user, and a module for comparing the stored biometric information with the received biometric information on the secure device, and if the comparison is successful, generating a digital signature for a message.
  • FIG. 1 illustrates an exemplary smart card 100 that may be used to verify biometric information and sign a data item.
  • a smart card 100 receives the biometric information via a biometrics interface 110 and then processes the biometric information with a biometrics processor 114.
  • the smart card 100 also includes a central processing unit (CPU) 118, a random access memory/read only memory (RAM/ROM) 122, a cryptosystem 126, and a card reader interface 130.
  • CPU central processing unit
  • RAM/ROM random access memory/read only memory
  • cryptosystem 126 a cryptosystem 126
  • the cryptosystem 126 may include an electrically eraseable programmable read only memory (EEPROM) 134 and a cryptosystem processor 138.
  • the EEPROM 134 may contain a unique identifier, e.g., card serial number, associated with the smart card 100 which may be used in key generation. These various components may communicate over a shared bus. It is noted that, depending on the embodiment, other hardware configurations may be used. For example, in one embodiment, the biometrics processor 114, the CPU 118, and the cryptosystem processor 138 can be integrated into a single processor.
  • Figure 2 is a block diagram illustrating the process flow of the smart card 100 during an enrollment mode. Figure 2 also illustrates certain functionalities that may be embodied as software modules that are executed by the hardware shown in Figure 1.
  • the smart card 100 comprises a biometric data analyzer 200, a random number generator 204, an encryption module 208, and a one-way hash function 212.
  • the biometric data analyzer 200, the random number generator 204, the encryption module 208 and the one-way hash function 212 may be implemented in either hardware or software.
  • the biometric data analyzer 200 is associated with the biometrics processor 114 and functions 204, 208 and 212 are associated with the cryptosystem 138.
  • the biometric data analyzer 200 executes on the biometrics processor 114 ( Figure 1).
  • the biometric data analyzer 200 receives biometric data 216 from a user and triggers the random number generator 204 to create a public key 220 and a private key 224.
  • the private key 224 is stored in a tamper-resistant component on the smart card 100.
  • the public key is transmitted to an external device, such as a computer, via the card reader interface 130.
  • a graphical distribution of identifications is made in n-dimensions. Registration is conducted against known templates in dependence upon the selected parameters.
  • a single point is determined having coordinates equal to each of at least some of the registration results. Alternatively, the point has coordinates determined in dependence upon the registration results but not equal thereto. Plotting the point results in a point plotted in n-dimensional space.
  • the biometrics processor 114 determines a probability distribution for the selected parameters. Alternatively, this is performed prior to the registration process for biometric information samples. Further, alternatively the probability distributions are determined or approximated in advance and stored in non- volatile memory such as ROM 122.
  • FIG 3 is a block diagram illustrating the process flow of the smart card 100 during a signing mode.
  • a clear message 230 is transmitted to the smart card 100 via the card reader interface 130 ( Figure 1).
  • the one-way hash function 212 creates a message digest 232 based upon the content of the clear message 230.
  • the encryption module 208 then encrypts the message digest with the private key 224 to create a digital signature 234.
  • the digital signature 234 is then appended to the clear message 230, and is transmitted to an external device, such as a computer via the card reader interface 130.
  • the user Before any message is sent, the user must re-provide the biometric data 216 for user verification. Given an n-dimensional plot defined by a boundary function and a single point, a comparison determines whether or not the point falls below or above the function and optionally within or outside other known ranges. Stated differently, the point is analyzed to determine whether it falls within a suitable region wherein region is defined as an n-dimensional region having at least some known boundaries. When the point falls within a predetermined or suitable region, the individual is identified. When the point falls outside the predetermined or suitable region, the individual is not identified.
  • a feature set For a comparison of two biometric data only the two feature sets are compared. To compare two feature sets, each feature is compared and weighted separately. To find good weightings for this comparison can be difficult, and an artificial neural net approach may be used for this purpose. The arithmetic differences between each two corresponding features from all features of the feature sets is calculated and fed into the neural net. There they are weighted internally and an output is calculated which gives a value to be interpreted as the probability whether the two sets match.
  • a well-trained neural net can classify not only sets used during training but also novel sets presented the first time. Once the neural net is trained and the acceptable range of output values is determined the identification can readily be made. If the output falls within this range, the individual is identified, if it is outside the range, the individual is not identified.
  • the smart card 100 converts the biometric data 216 into a digital signature 234 in a tamperproof way.
  • digital signatures There are two types of cryptographic systems in which digital signatures have been used: symmetric and asymmetric cryptosystems. In symmetric (conventional) cryptography the sender and recipient of a communication share a secret key. This key is used by the sender, the originator of a communication, to encrypt the message and by the recipient of the communication to decrypt the message.
  • MAC Message Authentication Code
  • asymmetric (public key) cryptography different keys are used to encrypt and decrypt a message. Each user is associated with a pair of keys. One key (the public key) is publicly known and is used to encrypt messages destined for that user, and the other key (the private key) is known only to that user and is used to decrypt incoming messages. Since the public key need not be kept secret, it is no longer necessary to secretly convey a shared encryption key between communicating parties prior to exchanging confidential traffic or authenticating messages.
  • RSA is the most well known asymmetric algorithm.
  • a digital signature is a block of data appended to a message data unit, and allows the recipient to prove the origin of the message data unit and to protect it against forgery.
  • Some asymmetric algorithms e.g., RSA, can also provide authentication and non-repudiation through use of digital signatures.
  • the sender encrypts the data under his own private key.
  • the recipient decrypts it with the sender's public key. If the message is successfully decrypted using the sender's public key, the message must originally have been encrypted by the sender, because the sender is the only entity that knows the corresponding private key.
  • the encrypted message is bound to the signature, because the recipient cannot verify the message without decrypting the signature data block.
  • the signature-encrypted message can then be encrypted to the recipient using the recipient's public key, as usual.
  • Digital signatures may also be formed using asymmetric encryption.
  • the message is first digested (hashed) into a single block using a one-way hash function.
  • H(M) a typical one-way hash function
  • a one-way hash function has the property that, given the digest, it is computationally extremely difficult to construct any message that hashes to that value or to find two messages that hash to the same digest.
  • the digest is then encrypted with the user's private key, and the result is appended to the encrypted or unencrypted message as its signature.
  • the recipient uses the sender's public key to decrypt the signature into the hash digest.
  • the recipient also digests (hashes) the message, which has been received either unencrypted or encrypted and then decrypted by the recipient, into a block using the same one-way hash function used by the sender.
  • the recipient verifies the sender's signature by checking that the deciypted hash digest is the same as the hashed message digest.
  • a digital signature provides the security services of (a) integrity, because any modification of the data being signed will result in a different digest and thus a different signature; (b) origin authentication, because only the holder of the private key corresponding to the public key used for validation of the signature could have signed the message; and (c) non-repudiation, as irrevocable proof to a third party that only the signer, and not the recipient or its employees, could have created the signature.
  • a symmetric secret key authenticator does not provide these services, since either of the two parties can create the authenticator using their shared key.
  • the digital signatures can thereafter be used in a cryptographic system for enforcing security policies and authorization requirements in a manner that reduces risks to the users.
  • the biometrics processor 114, the CPU 118, and the cryptosystem processor 138 may be any suitable central processing unit for executing commands and controlling the smart card 100.
  • the RAM portion of the RAM/ROM 122 serves as storage for calculated results and as stack memory.
  • the ROM portion of the RAM/ROM 122 stores the operating system, fixed data, standard routines, and look up tables.
  • Non-volatile memory such as EPROM or EEPROM, e.g., EEPROM 134, serves to store information that must not be lost when the card is disconnected from a power source but that must also be alterable to accommodate data specific to individual cards or any changes possible over the card lifetime.
  • This information can include the private key 224 and biometric measurement templates and can include the public key 220, a card serial number, a personal identification number, biometric standards or limits, authorization limits, etc.
  • the encryption module 208 is used for performing a variety of encryption algorithms.
  • the random number generator 204 is used to generate random keys used in the encryption algorithms.
  • the biometrics interface 110 ( Figure 1) is used to receive biometric data.
  • the biometrics interface 110 may provide a contact device or an optical device to perform a finger scan or image, an iris scan or image, a retina scan or image or to determine the geometry of a hand or a face.
  • the biometrics interface may also provide a microphone to perform a voice or speaker analysis and verification.
  • the biometrics interface may also provide a keyboard to perform key stroke dynamic analysis or a contact to perform stroke or writing dynamic analysis and verification.
  • the biometric data analyzer 200 is used for performing various biometric data analysis, identification and verification algorithms.
  • the card reader interface 130 includes the software and hardware necessary for communication with the outside world. A wide variety of interfaces are possible. By way of example, the card reader interface 130 may provide a contact interface, a close-coupled interface, a remote-coupled interface, or a variety of other interfaces. With a contact interface, signals from the card are routed to a number of metal contacts on the outside of the card which come in physical contact with similar contacts of a card reader device. Depending on the application, the biometrics interface 110 can be separated from or combined with the card reader interface 130.
  • the smart card 100 includes components to perform the functions of biometric data analysis, random key generation, one-way hash function to generate a message digest, and encryption using a private key to generate a cipher text from a clear text.
  • the smart card 100 can be used to add a cipher hash digest to a message sent by the user.
  • the hash digest is encrypted with a private key which is randomly generated by the card when the biometrics registration process performed by the card is complete.
  • the generation of random private and public keys can utilize well known algorithms and calculations to create the public and private keys.
  • the encryption operation selects two prime numbers p and q and an exponent e which is relatively prime to
  • RSA algorithm three common choices for e are 3, 17 and 65537.
  • the public key is the composite number n and the exponent d, so that e * d is congruent to 1 modulo (p-l)(q-l).
  • the calculation of d is straightforward using the extended Euclidian algorithm.
  • a simple algorithm to generate the public and the private key on the card module runs as follows: first generate two large random prime numbers p and q and choose e among 3, 17 and 65537 so that e is relatively prime to (p-l)(q-l); if not possible repeat the random prime numbers generation until two suitable primes are found; then calculate n and d.
  • the generation of the two random prime numbers p and q can be achieved by using standard algorithms to generate probable primes with an acceptable very low probability of error, such as the Miller-Rabin algorithm, or provable primes, such as the Maurer's algorithm.
  • the advantage of this approach is that nobody, even the user, is able to know the private key 224.
  • the private key 224 is generated only when the biometric template data for the biometric registration is complete.
  • the private key 224 is be embedded into tamperproof portion of the smart card 100 and is therefore inaccessible to any outside user.
  • the public key 220 is usually transmitted with a digital certificate.
  • a digital certificate is a data package that completely identifies an individual and is issued by a certification authority only after that authority has verified the individual's identity.
  • the data package includes the public key that belongs to the individual.
  • the sender of a message signs the message with his private key
  • the recipient of the message can use the sender's public key (retrieved from the certificate either sent with the message or available elsewhere on the network) to verify that the sender is legitimate.
  • a certificate can also be used to send an encrypted message to the certificate owner by using the public key contained in the certificate.
  • the public key 220 generated by the smart card 100 can be used to generate a digital certificate by a certification authority. For example every smart card can be identified by a serial number.
  • the certification authority can maintain records identifying which smart card 100 has been attributed to which individual and receive the public key corresponding to said smart card and said associated user upon the biometrics registration process.
  • the X.509 protocol defines the following structure for public-key certificates, and can be used directly with the smart card data:
  • the version field identifies the certificate format.
  • the serial number is unique to the smart card 100.
  • the signature algorithm identifies the algorithm used to sign the certificate.
  • the issuer field contains the name of the certification authority.
  • the period of validity field includes a pair of dates that identifies the period of time that the certificate is valid.
  • the subject field stores the name of the user to whom the certificate is issued.
  • the subject's public key field includes the algorithm name and the public key itself.
  • the last field contains the certification authority's signature.
  • generation of the digital signature requires the combination of receipt of individual specific biometric data and the card specific private key. No one, even the user or the card manufacturer, is able to produce a second card generating the same private key.
  • the smart card 100 is unique and specific to the user. One of the advantages of the smart card 100 is that it safeguards against forgery in case of loss of the card or attempts to duplicate the smart card 100. First, the smart card 100 is useless without its user. Second, the duplication of the smart card 100, even with the knowledge of the user's biometric data does not allow the generation of the same private key and the same signature. Only the combination of the unique smart card and its corresponding specific accurate biometric data allows the generation of the digital signature.
  • the device provides for a novel way to generate a digital signature, which is unique, cannot be duplicated, even by the user or the manufacturer, and requires the user's specific biometric data in all cases.
  • a digital signature which is unique, cannot be duplicated, even by the user or the manufacturer, and requires the user's specific biometric data in all cases.
  • requiring the physical presence of the individual and the device to generate the digital signature it provides for a contextual control of the signature, which is equivalent or even superior in many ways to controls currently applied on physical or biological signatures and used in today's legal and administrative world.
  • a device utilizes a biometrics authentication procedure to generate a digital signature.
  • the token or smart card is used in two different ways, i.e., in an enrollment mode or in a signing mode.
  • Figure 4 is a flowchart illustrating an exemplary process of registering biometric information received from a user in the enrollment mode.
  • Figure 5 is a flowchart illustrating an exemplary process of authenticating a messaging in the signing mode. It is to be appreciated that depending on the embodiment, additional states may be added, others removed, and the ordering of the states may be rearranged.
  • the smart card 100 uses the biometrics data analyzer 200 to register biometrics templates coming through the biometrics interface 110.
  • the smart card 100 uses the biometrics data analyzer 200 to register biometrics templates coming through the biometrics interface 110.
  • the smart card 100 generates, via the random key generation module 204, the private key 224.
  • the smart card 100 generates the public key 220.
  • the private key 224 is stored in the card non- volatile memory, such as EEPROM 134, and remains unknown to the user, whereas the public key 220 is communicated to the user and his correspondents through the card reader interface 130 and any subsequent communication channel.
  • the public key 220 can be provided to the correspondents by a certification authority along with a digital certificate.
  • the certification authority assigns to the smart card 100 a specific serial number that is specific to an individual and certifies the corresponding public key 220 after successful enrollment by the individual.
  • biometric measurements are taken again from the biometrics interface 110 and verified by the biometric data analyzer 200. It is to be appreciated that the biometric information may optionally be received concurrently with or before the receipt of the message.
  • a decision state 508 if the biometric data 216 is identified (and the identity of the user is authenticated), the process proceeds to a state 512, wherein a message digest for the message is created. Otherwise, if the biometric data 216 is not identified, the process ends.
  • the process proceeds to a state 516 wherein the message digest is encrypted by the encryption module 208 on the card 100 using the private key 224.
  • the result is an encrypted message digest that is the digital signature 234 for the message 230.
  • This digital signature 234 is added to the message 230. Proceeding to a state 520, the message is sent back to a computer for further processing and communication.
  • the biometric data analyzer 200, the random number generator 204, the private key 224 and the encryption module 208 be embedded into the card in a tamperproof way.
  • the fact that the private key 224 is inaccessible provides security to the system.
  • the one-way hash function 212 and the public key 220 are shared with the recipients of the message in order to decrypt the signature and to compare the message digest with the decrypted signature, accordingly it is not necessary to have the one-way hash function 212 nor the message digest 232 be embedded into the smart card 100. However, depending on the application considered, it might be preferable to generate the message digest on the smart card 100.
  • the smart card 100 could also be used to verify other user's signatures, in which case it will be convenient to store the one way hash function 212 in the smart card 100 to be able to verify and create message digests.
  • Incorporating the biometric data analyzer 200 into the smart card 100 is advantageous because it provides for an additional level of security. Any attempt to simulate the biometric data is extremely difficult because the details of the biometric data and the analysis algorithms are embedded into the smart card 100 and are unknown to a fraudulent user.
  • the digital signature can be added to any message or any electronic document.
  • the use of the smart card 100 opens a vast area of applications ranging from electronic signatures on bilateral and multilateral transactions, electronic notaiy services, electronic authorizations for financial transactions in banking and trading, payments for electronic commerce, payments for electronic auctions, payments for access to electronic services, and more generally all activities requiring the identification of a user requesting or performing an electronic transaction.
  • the private key 224 does not need to be stored in a host computer. Further, the user biometrics verification process is advantageous due to the fact that if the smart card 100 is stolen, it is of little value. The user and the device are required to generate the digital signature.

Abstract

A system and method of authenticating users and data. One embodiment of the invention includes a smart card (100) that digitally signs a message in response to authenticating biometric information that is provided by a user. The smart card (100) may include a random number generator (204) and an encryption module (208). In an enrollment mode, the biometric data analyzer (200) receives biometric data (216) from a user and triggers the random number generator (204) to create a public key (220) and a private key (224). The private key (224) is stored in a tamper-resistant component on the smart card (100). The public key (220) is transmitted to an external device, such as a computer, via a card reader interface (130). During a signing mode, the smart card (100) digitally signs incoming messages subsequent to verifying the biometric information (216) that is provided by the user.

Description

SYSTEM AND METHOD OF USER AND DATA VERIFICATION
Background of the Invention Field of the Invention The invention relates to the conversion of physical or biological signatures into digital signatures. More particularly, the invention relates to generating digital signatures using biometric identification.
Description of the Related Technology Physical signatures are becoming an anachronism in the electronic world and the process of verifying pen-and-ink signatures, photographs or fingerprints on paper or other materials are costly and error-prone. At least with physical documents, however, the signer retains the basic "contextual controls" of document preparation and physical delivery. On a digitally signed electronic document, on the other hand, a signer controls only the encoded signature. All time, place and manner controls are absent, and nothing distinguishes a valid user signature from one fraudulently produced by another user who somehow obtained the first user's data, algorithms and keys.
Public-key cryptography is a computer security technology that can support the creation of electronic document systems, providing that the user's digital signature on an electronic document, i.e., the user's electronic authentication and verification of the electronic document, can be given sufficient practical and legal meaning.
These systems have enormous commercial significance because, in many cases, large cost reductions can be realized over current paper transaction procedures. This improvement is sufficiently dramatic that many organizations are, for economic and competitive reasons, .compelled to use them once their practicality has been demonstrated.
Disadvantageously, known systems do not allow for authentication of messages using biometric information. Biometrics is the measure of an individual's body or behavior in order to identify or verify the individual's identity. Biometrics provides for new ways to identify a user with his fingerprint, voiceprint, iris scan, facial picture, hand geometry or various other unique features of his body or behavior. Biometric measurement data, albeit subject to statistical variations, is nevertheless conventionally used to verify the identity of individuals. Typical methods used are based on statistical hypothesis testing where an individual's biometric measurements are stored at the time of "enrollment". Then, during "verification", biometric measurements are taken again and compared to the stored measurements. Various algorithms can be used to convert the measurements into mathematical representations and accept a range of biometric data. This conversion and statistical analysis is useful because sequential biometric measurements have a range for any one individual, especially when taken at different times and places using even slightly different equipment.
There is a need for new and improved systems for authenticating messages. The system should analyze biometric information as provided by the user as part of the authentication process. The system should also include features to safeguard the keys that are used in the authentication process.
Brief Description of the Drawings Figure 1 is a block diagram illustrating certain components of a smart card embodiment of a portable encryption device.
Figure 2 is a block diagram illustrating the functional modules and data involved in an enrollment process that is performed by the smart card of Figure 1. Figure 3 is a block diagram illustrating the functional modules and data involved in a signing process that is performed by the smart card of Figure 1.
Figure 4 is a flowchart illustrating an exemplary process of registering biometric information with the portable encryption device of Figure 1.
Figure 5 is a flowchart illustrating an exemplary process of generating and authenticating a message using the portable encryption device of Figure 1.
Summary of the Certain Inventive Aspects One aspect of the invention comprises a method of generating digital signature, the method comprising: generating public and private keys on a secure device, storing biometric information indicative of a user on the secure device, receiving biometric information indicative of the user, and comparing the stored biometric information with the received biometric information on the secure device, and if the comparison is successful, generating a digital signature for a message. In one embodiment, the secure device is portable. Furthermore, in one embodiment of the invention, the secure device is a smart card.
Another aspect of the invention comprises a method of generating a digital signature, the method comprising registering biometric information in a secure device and generating public and private keys on the secure device in conjunction with the biometric information. The digital device may include a unique device identifier which is used for key generation.
Yet another aspect of the invention comprises a secure device for generating a digital signature, the device comprising: a module for generating public and private keys on a secure device, a module for storing biometric information indicative of a user on the secure device, a module for receiving biometric information indicative of the user, and a module for comparing the stored biometric information with the received biometric information on the secure device, and if the comparison is successful, generating a digital signature for a message.
Detailed Description of Embodiments of the Invention
The following detailed description is directed to certain specific embodiments of the invention. However, the invention can be embodied in a multitude of different ways as defined and covered by the claims.
Figure 1 illustrates an exemplary smart card 100 that may be used to verify biometric information and sign a data item. Although the following text describes the use of a smart card 100, the processes that are performed by the smart card 100 can be integrated with any type of portable electronic device, for example a wireless handheld device. Furthermore, it is noted that the portable electronic device can comprise software, hardware, or a combination thereof. The smart card 100 receives the biometric information via a biometrics interface 110 and then processes the biometric information with a biometrics processor 114. The smart card 100 also includes a central processing unit (CPU) 118, a random access memory/read only memory (RAM/ROM) 122, a cryptosystem 126, and a card reader interface 130. The cryptosystem 126 may include an electrically eraseable programmable read only memory (EEPROM) 134 and a cryptosystem processor 138. The EEPROM 134 may contain a unique identifier, e.g., card serial number, associated with the smart card 100 which may be used in key generation. These various components may communicate over a shared bus. It is noted that, depending on the embodiment, other hardware configurations may be used. For example, in one embodiment, the biometrics processor 114, the CPU 118, and the cryptosystem processor 138 can be integrated into a single processor. Figure 2 is a block diagram illustrating the process flow of the smart card 100 during an enrollment mode. Figure 2 also illustrates certain functionalities that may be embodied as software modules that are executed by the hardware shown in Figure 1. Insofar as functionality, the smart card 100 comprises a biometric data analyzer 200, a random number generator 204, an encryption module 208, and a one-way hash function 212. The biometric data analyzer 200, the random number generator 204, the encryption module 208 and the one-way hash function 212 may be implemented in either hardware or software. In one embodiment, the biometric data analyzer 200 is associated with the biometrics processor 114 and functions 204, 208 and 212 are associated with the cryptosystem 138.
In one embodiment of the invention, the biometric data analyzer 200 executes on the biometrics processor 114 (Figure 1). In the enrollment mode, the biometric data analyzer 200 receives biometric data 216 from a user and triggers the random number generator 204 to create a public key 220 and a private key 224. The private key 224 is stored in a tamper-resistant component on the smart card 100. The public key is transmitted to an external device, such as a computer, via the card reader interface 130. In one embodiment, once a set of biometric parameters is selected, a graphical distribution of identifications is made in n-dimensions. Registration is conducted against known templates in dependence upon the selected parameters.
Once registration is complete, a single point is determined having coordinates equal to each of at least some of the registration results. Alternatively, the point has coordinates determined in dependence upon the registration results but not equal thereto. Plotting the point results in a point plotted in n-dimensional space. The biometrics processor 114 then determines a probability distribution for the selected parameters. Alternatively, this is performed prior to the registration process for biometric information samples. Further, alternatively the probability distributions are determined or approximated in advance and stored in non- volatile memory such as ROM 122.
Figure 3 is a block diagram illustrating the process flow of the smart card 100 during a signing mode. In the signing mode, a clear message 230 is transmitted to the smart card 100 via the card reader interface 130 (Figure 1). For authentication purposes, as is explained in further detail below, the one-way hash function 212 creates a message digest 232 based upon the content of the clear message 230. The encryption module 208 then encrypts the message digest with the private key 224 to create a digital signature 234. The digital signature 234 is then appended to the clear message 230, and is transmitted to an external device, such as a computer via the card reader interface 130.
Before any message is sent, the user must re-provide the biometric data 216 for user verification. Given an n-dimensional plot defined by a boundary function and a single point, a comparison determines whether or not the point falls below or above the function and optionally within or outside other known ranges. Stated differently, the point is analyzed to determine whether it falls within a suitable region wherein region is defined as an n-dimensional region having at least some known boundaries. When the point falls within a predetermined or suitable region, the individual is identified. When the point falls outside the predetermined or suitable region, the individual is not identified.
In another approach, actual features are computed from the measurements and combined to a vector of feature values, called a feature set. For a comparison of two biometric data only the two feature sets are compared. To compare two feature sets, each feature is compared and weighted separately. To find good weightings for this comparison can be difficult, and an artificial neural net approach may be used for this purpose. The arithmetic differences between each two corresponding features from all features of the feature sets is calculated and fed into the neural net. There they are weighted internally and an output is calculated which gives a value to be interpreted as the probability whether the two sets match. A well-trained neural net can classify not only sets used during training but also novel sets presented the first time. Once the neural net is trained and the acceptable range of output values is determined the identification can readily be made. If the output falls within this range, the individual is identified, if it is outside the range, the individual is not identified.
Although current biometric devices and algorithms based on these approaches now routinely achieve acceptable levels of false acceptance, false rejection and failure to enroll rates, a limitation of all biometric devices remain the possibility for a fraudulent user to capture and fake the input device or to access and replay the biometric data channels. To overcome this limitation, the smart card 100 converts the biometric data 216 into a digital signature 234 in a tamperproof way. There are two types of cryptographic systems in which digital signatures have been used: symmetric and asymmetric cryptosystems. In symmetric (conventional) cryptography the sender and recipient of a communication share a secret key. This key is used by the sender, the originator of a communication, to encrypt the message and by the recipient of the communication to decrypt the message. It may also be used by the recipient to authenticate a message by having the sender use the secret key to compute some function such as a Message Authentication Code (MAC) based upon the message; the recipient thus can be assured of the identity of the originator, because only the sender and the recipient know the secret key used to compute the MAC. DES is an example of a symmetric cryptosystem.
In asymmetric (public key) cryptography different keys are used to encrypt and decrypt a message. Each user is associated with a pair of keys. One key (the public key) is publicly known and is used to encrypt messages destined for that user, and the other key (the private key) is known only to that user and is used to decrypt incoming messages. Since the public key need not be kept secret, it is no longer necessary to secretly convey a shared encryption key between communicating parties prior to exchanging confidential traffic or authenticating messages. RSA is the most well known asymmetric algorithm.
A digital signature, however, is a block of data appended to a message data unit, and allows the recipient to prove the origin of the message data unit and to protect it against forgery. Some asymmetric algorithms, e.g., RSA, can also provide authentication and non-repudiation through use of digital signatures. In order to sign data, the sender encrypts the data under his own private key. In order to validate the data, the recipient decrypts it with the sender's public key. If the message is successfully decrypted using the sender's public key, the message must originally have been encrypted by the sender, because the sender is the only entity that knows the corresponding private key. Using this method of signing documents, the encrypted message is bound to the signature, because the recipient cannot verify the message without decrypting the signature data block. The signature-encrypted message can then be encrypted to the recipient using the recipient's public key, as usual.
Digital signatures may also be formed using asymmetric encryption. To sign a message, the message is first digested (hashed) into a single block using a one-way hash function. Briefly, a typical one-way hash function, denoted H(M), operates on an arbitrary-length block of text or message M. The one-way hash function returns a fixed-length hash value, h, such that h = H(M), were h is of length m. One-way hash functions have special characteristics that make them oneway. Given M, for example, it is easy to compute h. Given h, it is hard to reverse the hashing process and to compute M such that H(M) = h. Further, it is very difficult to find another message, M', such that H(M) = H(M'). In essence, a one-way hash function has the property that, given the digest, it is computationally extremely difficult to construct any message that hashes to that value or to find two messages that hash to the same digest. The digest is then encrypted with the user's private key, and the result is appended to the encrypted or unencrypted message as its signature. The recipient uses the sender's public key to decrypt the signature into the hash digest. The recipient also digests (hashes) the message, which has been received either unencrypted or encrypted and then decrypted by the recipient, into a block using the same one-way hash function used by the sender. The recipient then verifies the sender's signature by checking that the deciypted hash digest is the same as the hashed message digest.
Separating the signature from the message in this way, i.e., not requiring the sender and recipient to encrypt and decrypt the entire message in order to verify the signature, greatly reduces the amount of data to be encrypted. This can be advantageous because public key algorithms are generally substantially slower than conventional algorithms, and processing the entire message in order to verify a signature requires a significant amount of time. The signature process also introduces redundancy into the message, which, because the message must hash to the specified digest, allows the recipient to detect unauthorized changes to the message. A digital signature provides the security services of (a) integrity, because any modification of the data being signed will result in a different digest and thus a different signature; (b) origin authentication, because only the holder of the private key corresponding to the public key used for validation of the signature could have signed the message; and (c) non-repudiation, as irrevocable proof to a third party that only the signer, and not the recipient or its employees, could have created the signature. A symmetric secret key authenticator does not provide these services, since either of the two parties can create the authenticator using their shared key. The digital signatures can thereafter be used in a cryptographic system for enforcing security policies and authorization requirements in a manner that reduces risks to the users.
The biometrics processor 114, the CPU 118, and the cryptosystem processor 138, may be any suitable central processing unit for executing commands and controlling the smart card 100. The RAM portion of the RAM/ROM 122 serves as storage for calculated results and as stack memory. The ROM portion of the RAM/ROM 122 stores the operating system, fixed data, standard routines, and look up tables. Non-volatile memory (such as EPROM or EEPROM), e.g., EEPROM 134, serves to store information that must not be lost when the card is disconnected from a power source but that must also be alterable to accommodate data specific to individual cards or any changes possible over the card lifetime. This information can include the private key 224 and biometric measurement templates and can include the public key 220, a card serial number, a personal identification number, biometric standards or limits, authorization limits, etc. The encryption module 208 is used for performing a variety of encryption algorithms. The random number generator 204 is used to generate random keys used in the encryption algorithms. The biometrics interface 110 (Figure 1) is used to receive biometric data. By way of example the biometrics interface 110 may provide a contact device or an optical device to perform a finger scan or image, an iris scan or image, a retina scan or image or to determine the geometry of a hand or a face. The biometrics interface may also provide a microphone to perform a voice or speaker analysis and verification. The biometrics interface may also provide a keyboard to perform key stroke dynamic analysis or a contact to perform stroke or writing dynamic analysis and verification. The biometric data analyzer 200 is used for performing various biometric data analysis, identification and verification algorithms. The card reader interface 130 includes the software and hardware necessary for communication with the outside world. A wide variety of interfaces are possible. By way of example, the card reader interface 130 may provide a contact interface, a close-coupled interface, a remote-coupled interface, or a variety of other interfaces. With a contact interface, signals from the card are routed to a number of metal contacts on the outside of the card which come in physical contact with similar contacts of a card reader device. Depending on the application, the biometrics interface 110 can be separated from or combined with the card reader interface 130.
In one embodiment, the smart card 100 includes components to perform the functions of biometric data analysis, random key generation, one-way hash function to generate a message digest, and encryption using a private key to generate a cipher text from a clear text. The smart card 100 can be used to add a cipher hash digest to a message sent by the user. The hash digest is encrypted with a private key which is randomly generated by the card when the biometrics registration process performed by the card is complete.
The generation of random private and public keys can utilize well known algorithms and calculations to create the public and private keys. In the case of RSA, the encryption operation selects two prime numbers p and q and an exponent e which is relatively prime to
(p-l)(q-l). The private key is the composite number n = p * q and the exponent e. To speed up the
RSA algorithm, three common choices for e are 3, 17 and 65537.
The public key is the composite number n and the exponent d, so that e * d is congruent to 1 modulo (p-l)(q-l). The calculation of d is straightforward using the extended Euclidian algorithm.
A simple algorithm to generate the public and the private key on the card module runs as follows: first generate two large random prime numbers p and q and choose e among 3, 17 and 65537 so that e is relatively prime to (p-l)(q-l); if not possible repeat the random prime numbers generation until two suitable primes are found; then calculate n and d. The generation of the two random prime numbers p and q can be achieved by using standard algorithms to generate probable primes with an acceptable very low probability of error, such as the Miller-Rabin algorithm, or provable primes, such as the Maurer's algorithm.
Various other algorithms are currently used for efficient asymmetric cryptography. In the Rabin algorithm one has to choose first two primes p and q congruent to 3 modulo 4. These primes are the private key, the product n = p * q is the public key.
In the ElGamal algorithm to generate a key pair, one has to choose a prime p and two random numbers g and x such that both numbers g and x are less than p. The private key is x, the public key is g exp x modulo p, g and p. It is clear that in all these cases the private and public keys can be generated by the cryptosystem processor 138 by generating random integers and prime numbers and performing relatively simple and rapid tests and calculations.
The advantage of this approach is that nobody, even the user, is able to know the private key 224. The private key 224 is generated only when the biometric template data for the biometric registration is complete. The private key 224 is be embedded into tamperproof portion of the smart card 100 and is therefore inaccessible to any outside user.
The public key 220 is usually transmitted with a digital certificate. A digital certificate is a data package that completely identifies an individual and is issued by a certification authority only after that authority has verified the individual's identity. The data package includes the public key that belongs to the individual. When the sender of a message signs the message with his private key, the recipient of the message can use the sender's public key (retrieved from the certificate either sent with the message or available elsewhere on the network) to verify that the sender is legitimate. A certificate can also be used to send an encrypted message to the certificate owner by using the public key contained in the certificate.
The public key 220 generated by the smart card 100 can be used to generate a digital certificate by a certification authority. For example every smart card can be identified by a serial number. The certification authority can maintain records identifying which smart card 100 has been attributed to which individual and receive the public key corresponding to said smart card and said associated user upon the biometrics registration process.
As an example, The X.509 protocol defines the following structure for public-key certificates, and can be used directly with the smart card data:
ty< ersion
[Serial Number
[Signature Algorithm
Issuer Name
Period of Validity
1. Not Before Date
2. Not After Date
[Subject Name
Subject's Public Key
• Algorithm
• Public Key
[Extensions
[Signature
The version field identifies the certificate format. The serial number is unique to the smart card 100. The signature algorithm identifies the algorithm used to sign the certificate. The issuer field contains the name of the certification authority. The period of validity field includes a pair of dates that identifies the period of time that the certificate is valid. The subject field stores the name of the user to whom the certificate is issued. The subject's public key field includes the algorithm name and the public key itself. The last field contains the certification authority's signature.
In one embodiment of the invention, generation of the digital signature requires the combination of receipt of individual specific biometric data and the card specific private key. No one, even the user or the card manufacturer, is able to produce a second card generating the same private key. The smart card 100 is unique and specific to the user. One of the advantages of the smart card 100 is that it safeguards against forgery in case of loss of the card or attempts to duplicate the smart card 100. First, the smart card 100 is useless without its user. Second, the duplication of the smart card 100, even with the knowledge of the user's biometric data does not allow the generation of the same private key and the same signature. Only the combination of the unique smart card and its corresponding specific accurate biometric data allows the generation of the digital signature.
The device provides for a novel way to generate a digital signature, which is unique, cannot be duplicated, even by the user or the manufacturer, and requires the user's specific biometric data in all cases. By requiring the physical presence of the individual and the device to generate the digital signature it provides for a contextual control of the signature, which is equivalent or even superior in many ways to controls currently applied on physical or biological signatures and used in today's legal and administrative world.
A device according to the present invention utilizes a biometrics authentication procedure to generate a digital signature. In the disclosed embodiment of the invention, the token or smart card is used in two different ways, i.e., in an enrollment mode or in a signing mode. Figure 4 is a flowchart illustrating an exemplary process of registering biometric information received from a user in the enrollment mode. Figure 5 is a flowchart illustrating an exemplary process of authenticating a messaging in the signing mode. It is to be appreciated that depending on the embodiment, additional states may be added, others removed, and the ordering of the states may be rearranged.
Referring to Figure 4, at a state 400, in the "enrollment" or "registration" mode the smart card 100 uses the biometrics data analyzer 200 to register biometrics templates coming through the biometrics interface 110. Next, at a state 404, after completion of the biometrics registration procedure, the smart card 100 generates, via the random key generation module 204, the private key 224. Moving to a state 408, the smart card 100 generates the public key 220. The private key 224 is stored in the card non- volatile memory, such as EEPROM 134, and remains unknown to the user, whereas the public key 220 is communicated to the user and his correspondents through the card reader interface 130 and any subsequent communication channel.
Continuing to a state 412, the public key 220 can be provided to the correspondents by a certification authority along with a digital certificate. The certification authority assigns to the smart card 100 a specific serial number that is specific to an individual and certifies the corresponding public key 220 after successful enrollment by the individual.
Referring now to Figure 5, at a state 504, in the "signing" mode a message 230 is downloaded from a computer into the smart card 100 through the card interface 130 and processed with the one-way hash function 212 to generate a message digest D = H (M). Next, at a state 506, biometric measurements are taken again from the biometrics interface 110 and verified by the biometric data analyzer 200. It is to be appreciated that the biometric information may optionally be received concurrently with or before the receipt of the message.
Continuing to a decision state 508, if the biometric data 216 is identified (and the identity of the user is authenticated), the process proceeds to a state 512, wherein a message digest for the message is created. Otherwise, if the biometric data 216 is not identified, the process ends.
From state 512, the process proceeds to a state 516 wherein the message digest is encrypted by the encryption module 208 on the card 100 using the private key 224. The result is an encrypted message digest that is the digital signature 234 for the message 230. This digital signature 234 is added to the message 230. Proceeding to a state 520, the message is sent back to a computer for further processing and communication.
In order for the process to be secure it is recommended that the biometric data analyzer 200, the random number generator 204, the private key 224 and the encryption module 208 be embedded into the card in a tamperproof way. The fact that the private key 224 is inaccessible provides security to the system. The one-way hash function 212 and the public key 220 are shared with the recipients of the message in order to decrypt the signature and to compare the message digest with the decrypted signature, accordingly it is not necessary to have the one-way hash function 212 nor the message digest 232 be embedded into the smart card 100. However, depending on the application considered, it might be preferable to generate the message digest on the smart card 100. For example, the smart card 100 could also be used to verify other user's signatures, in which case it will be convenient to store the one way hash function 212 in the smart card 100 to be able to verify and create message digests. Incorporating the biometric data analyzer 200 into the smart card 100 is advantageous because it provides for an additional level of security. Any attempt to simulate the biometric data is extremely difficult because the details of the biometric data and the analysis algorithms are embedded into the smart card 100 and are unknown to a fraudulent user.
The digital signature can be added to any message or any electronic document. The use of the smart card 100 opens a vast area of applications ranging from electronic signatures on bilateral and multilateral transactions, electronic notaiy services, electronic authorizations for financial transactions in banking and trading, payments for electronic commerce, payments for electronic auctions, payments for access to electronic services, and more generally all activities requiring the identification of a user requesting or performing an electronic transaction.
By using the random key generator 204 and the encryption module 208, the private key 224 does not need to be stored in a host computer. Further, the user biometrics verification process is advantageous due to the fact that if the smart card 100 is stolen, it is of little value. The user and the device are required to generate the digital signature.
While the above detailed description has shown, described, and pointed out novel features of the invention as applied to various embodiments, it will be understood that various omissions, substitutions, and changes in the form and details of the device or process illustrated may be made by those skilled in the art without departing from the scope of the invention. The scope of the invention is indicated by the appended claims rather than by the foregoing description. All changes which come within the meaning and range of equivalency of the claims are to be embraced within their scope.

Claims

IN THE CLAIMS:
1. A method of generating a digital signature, the method comprising: generating a public and a private key on a secure device; storing biometric information indicative of a user in the secure device; receiving biometric information indicative of the user; and comparing the stored biometric information with the received biometric information on the secure device, and if the comparison is successful, generating a digital signature for a message.
2. The method of Claim 1, wherein the secure device is portable.
3. The method of Claim 1 , wherein the secure device is a smart card.
4. The method of Claim 1, additionally comprising generating a digital certificate that includes an identifier associated with the secure device.
5. A system for generating a digital signature, the system comprising: means for generating a public and a private key on a secure device; means for storing biometric information indicative of a user on the secure device; means for receiving biometric information indicative of the user; and means for comparing the stored biometric information with the received biometric information on the secure device, and if the comparison is successful, generating a digital signature for a message.
6. The system of Claim 5, additionally comprising means for generating a digital certificate that includes an identifier associated with the secure device.
7. The system of Claim 5, wherein the secure device is portable.
8. The system of Claim 5, wherein the secure device is a smart card.
9. A method of generating a digital signature, the method comprising: storing biometric information in a secure and portable device; and generating, with the biometric information, a public key and a private key on the secure and portable device.
10. The method of Claim 9, additionally comprising: receiving a message; and generating a digital signature for the message using, at least in part, the private key.
11. The method of Claim 9, wherein the device includes a unique device identifier that is associated with the generated public and private keys.
12. A secure device for generating a digital signature, the secure device comprising: a module configured to generate a public and a private key on a secure device; a memory configured to store biometric information indicative of a user in the secure device; and a biometric data analyzer configured to receive biometric information indicative of the user, and wherein the biometric data analyzer is configured to compare the stored biometric information with the received biometric information on the secure device, and if the comparison is successful, the biometric data analyzer generates a digital signature for a message.
13. The secure device of Claim 12, wherein the secure device is portable.
14. ,The secure device of Claim 12, wherein the secure device is a smart card.
15. A secure device, comprising: a biometrics processor configured to process biometric data and configured to authenticate the identity of a user; a biometrics interface for receiving biometric data and transmitting the biometric data to the biometrics processor; a card reader interface for transmitting at least one message to an electronic device; and a cryptoprocessor for generating a digital signature for the message; wherein the secure device transmits the generated digital signature to the electronic device via the card reader interface subsequent to the biometric processor authenticating the identity of the user.
16. The secure device of Claim 15, wherein the secure device is a smart card.
17. The secure device of Claim 15, wherein the secure device is portable.
18. The secure device of Claim 15, wherein the secure device transmits to the electronic device an electronic certificate that includes an identifier that is associated with the secure device.
19. A method of generating a digital signature on a smart card, comprising: generating a public key on a portable smart card; generating a private key on the portable smart card; storing the private key in a tamperproof memory in the portable smart card; storing biometric information indicative of a user in the portable smart card; receiving biometric information indicative of the user at the portable smart card; comparing the stored biometric information with the received biometric information on the portable smart card, and if the comparison is successful, generating a digital signature for a message, wherein the digital signature includes an encrypted message digest of the message, and wherein the digital signature is encrypted, at least in part, using the generated private key; and transmitting the generated digital signature to a remote electronic device.
20. The method of Claim 19, wherein the digital signature is transmitted with the message to a remote electronic device.
21. The method of Claim 20, additionally comprising: receiving the message and the digital signature; decrypting the digital signature with the public key; and authenticating the message.
22. A system for generating a digital signature, the system comprising: means for registering biometric information in a secure device; and means for generating a public key and a private key on the secure device in conjunction with the biometric information.
23. The system of Claim 22, additionally comprising: means for receiving a message; and means for generating a digital signature for the message using at least in part the private key.
24. A system, comprising: a network; at least one biometric input device; and a device configured to provide a digital signature to another device via the network in response to authenticating the identity of a user.
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Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2397153A (en) * 2003-01-11 2004-07-14 Francis Muir Kerrigan Handwritten signature check to allow use of digital certificate
FR2852469A1 (en) * 2003-03-11 2004-09-17 Mathieu Arnaud Data encryption/decryption method, for data transmission, involves identification of the operator, and implementing encryption algorithm for which the encryption key once programmed becomes inaccessible
GB2401015A (en) * 2003-04-23 2004-10-27 Hewlett Packard Development Co Security method and apparatus using biometric data
WO2005101965A2 (en) * 2004-03-25 2005-11-03 National University Of Ireland Secure digital content reproduction using biometrically derived hybrid encryption techniques
GB2421098A (en) * 2004-04-26 2006-06-14 Trek 2000 Int Ltd Portable data storage device with encryption system
WO2006064359A1 (en) * 2004-12-17 2006-06-22 Telefonaktiebolaget Lm Ericsson (Publ) Clone-resistant mutual authentication in a radio communication network
EP1760667A2 (en) * 2005-08-24 2007-03-07 Agilent Technologies, Inc. Biometric identification device
AU2006203591B2 (en) * 2004-04-26 2007-11-01 Trek 2000 International Ltd. Portable Data Storage Device with Encryption System
US7693279B2 (en) 2003-04-23 2010-04-06 Hewlett-Packard Development Company, L.P. Security method and apparatus using biometric data
CN102150446A (en) * 2008-09-09 2011-08-10 爱立信电话股份有限公司 Authentication in a communication network
US8689322B2 (en) 2006-07-11 2014-04-01 Lg Electronics Inc. Authentication method for information apparatus
US20150143511A1 (en) * 2012-06-14 2015-05-21 Vlatacom D.O.O. System and method for high security biometric access control
WO2016088144A1 (en) 2014-12-05 2016-06-09 Giuseppe Farina Digital signature with custom fingerprint
EP3402154A4 (en) * 2016-01-08 2018-11-14 Tencent Technology (Shenzhen) Company Limited Service processing method, device, and system
US20220286435A1 (en) * 2019-12-13 2022-09-08 Vmware, Inc. Dynamic variance mechanism for securing enterprise resources using a virtual private network

Families Citing this family (128)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7889052B2 (en) 2001-07-10 2011-02-15 Xatra Fund Mx, Llc Authorizing payment subsequent to RF transactions
US7796013B2 (en) * 2000-01-10 2010-09-14 Ensign Holdings Device using histological and physiological biometric marker for authentication and activation
US8049597B1 (en) 2000-01-10 2011-11-01 Ensign Holdings, Llc Systems and methods for securely monitoring an individual
US7536557B2 (en) * 2001-03-22 2009-05-19 Ensign Holdings Method for biometric authentication through layering biometric traits
US8261975B2 (en) 2001-03-07 2012-09-11 Diebold, Incorporated Automated banking machine that operates responsive to data bearing records
US7451116B2 (en) * 2001-03-07 2008-11-11 Diebold, Incorporated Automated transaction machine digital signature system and method
US7725427B2 (en) 2001-05-25 2010-05-25 Fred Bishop Recurrent billing maintenance with radio frequency payment devices
US20040236699A1 (en) 2001-07-10 2004-11-25 American Express Travel Related Services Company, Inc. Method and system for hand geometry recognition biometrics on a fob
US9024719B1 (en) 2001-07-10 2015-05-05 Xatra Fund Mx, Llc RF transaction system and method for storing user personal data
US7360689B2 (en) 2001-07-10 2008-04-22 American Express Travel Related Services Company, Inc. Method and system for proffering multiple biometrics for use with a FOB
US8284025B2 (en) 2001-07-10 2012-10-09 Xatra Fund Mx, Llc Method and system for auditory recognition biometrics on a FOB
US8001054B1 (en) 2001-07-10 2011-08-16 American Express Travel Related Services Company, Inc. System and method for generating an unpredictable number using a seeded algorithm
US8548927B2 (en) 2001-07-10 2013-10-01 Xatra Fund Mx, Llc Biometric registration for facilitating an RF transaction
US7668750B2 (en) 2001-07-10 2010-02-23 David S Bonalle Securing RF transactions using a transactions counter
US9031880B2 (en) 2001-07-10 2015-05-12 Iii Holdings 1, Llc Systems and methods for non-traditional payment using biometric data
US7705732B2 (en) 2001-07-10 2010-04-27 Fred Bishop Authenticating an RF transaction using a transaction counter
US7249112B2 (en) 2002-07-09 2007-07-24 American Express Travel Related Services Company, Inc. System and method for assigning a funding source for a radio frequency identification device
US7735725B1 (en) 2001-07-10 2010-06-15 Fred Bishop Processing an RF transaction using a routing number
US8294552B2 (en) 2001-07-10 2012-10-23 Xatra Fund Mx, Llc Facial scan biometrics on a payment device
US7303120B2 (en) 2001-07-10 2007-12-04 American Express Travel Related Services Company, Inc. System for biometric security using a FOB
US9454752B2 (en) 2001-07-10 2016-09-27 Chartoleaux Kg Limited Liability Company Reload protocol at a transaction processing entity
CA2491628A1 (en) * 2002-07-03 2004-01-15 Aurora Wireless Technologies, Ltd. Biometric private key infrastructure
WO2004014017A1 (en) * 2002-08-06 2004-02-12 Privaris, Inc. Methods for secure enrollment and backup of personal identity credentials into electronic devices
US6805287B2 (en) 2002-09-12 2004-10-19 American Express Travel Related Services Company, Inc. System and method for converting a stored value card to a credit card
CN1757188A (en) * 2002-11-06 2006-04-05 国际商业机器公司 Confidential data sharing and anonymous entity resolution
WO2004061668A1 (en) * 2002-12-31 2004-07-22 International Business Machines Corporation Authorized anonymous authentication
KR100493885B1 (en) * 2003-01-20 2005-06-10 삼성전자주식회사 Electronic Registration and Verification System of Smart Card Certificate For Users in A Different Domain in a Public Key Infrastructure and Method Thereof
DK200300384A (en) * 2003-03-13 2004-09-14 Quard Technology I S Self-Approving Biometric Device with Dynamic PIN Code Creation
EP1632091A4 (en) * 2003-05-12 2006-07-26 Gtech Corp Method and system for authentication
US8185747B2 (en) * 2003-05-22 2012-05-22 Access Security Protection, Llc Methods of registration for programs using verification processes with biometrics for fraud management and enhanced security protection
WO2004109454A2 (en) * 2003-05-30 2004-12-16 Privaris, Inc. A man-machine interface for controlling access to electronic devices
JP4585189B2 (en) * 2003-09-19 2010-11-24 富士通株式会社 Electronic signature assigning apparatus, electronic signature assigning method, and electronic signature assigning program
US20050125666A1 (en) * 2003-12-08 2005-06-09 Shu-Ming Lin Method of using an electronic seal for inserting an electronic seal into contents of a document in a computer system
DE10359680A1 (en) * 2003-12-18 2005-07-14 Giesecke & Devrient Gmbh Method for enabling access to a computer system or to a program
US20050138387A1 (en) * 2003-12-19 2005-06-23 Lam Wai T. System and method for authorizing software use
US7546327B2 (en) * 2003-12-22 2009-06-09 Wells Fargo Bank, N.A. Platform independent randomness accumulator for network applications
US20050138389A1 (en) * 2003-12-23 2005-06-23 International Business Machines Corporation System and method for making password token portable in trusted platform module (TPM)
CN1914604B (en) * 2003-12-25 2012-07-18 Para3公司 Portable personal server with biological information recognizer
SG124283A1 (en) * 2004-03-24 2006-08-30 Trusted Hub Ltd Document signature method & system
US20050246763A1 (en) * 2004-03-25 2005-11-03 National University Of Ireland Secure digital content reproduction using biometrically derived hybrid encryption techniques
US20050229005A1 (en) * 2004-04-07 2005-10-13 Activcard Inc. Security badge arrangement
DE602005005038T2 (en) * 2004-04-14 2009-03-12 Matsushita Electric Industrial Co., Ltd., Kadoma CONTACTLESS CARD
US7805614B2 (en) * 2004-04-26 2010-09-28 Northrop Grumman Corporation Secure local or remote biometric(s) identity and privilege (BIOTOKEN)
EP1759259A2 (en) * 2004-06-09 2007-03-07 Koninklijke Philips Electronics N.V. Architectures for privacy protection of biometric templates
US8842887B2 (en) * 2004-06-14 2014-09-23 Rodney Beatson Method and system for combining a PIN and a biometric sample to provide template encryption and a trusted stand-alone computing device
US9286457B2 (en) 2004-06-14 2016-03-15 Rodney Beatson Method and system for providing password-free, hardware-rooted, ASIC-based authentication of a human to a mobile device using biometrics with a protected, local template to release trusted credentials to relying parties
FR2872375B1 (en) * 2004-06-24 2006-12-01 France Telecom METHOD FOR GENERATING ALEA IN MOBILITY SITUATION
US20100208950A1 (en) * 2009-02-17 2010-08-19 Silvester Kelan C Biometric identification data protection
US7492925B2 (en) * 2004-06-25 2009-02-17 Intel Corporation Biometric identification data protection
JP4657668B2 (en) * 2004-10-08 2011-03-23 富士通株式会社 Biometric authentication method and biometric authentication device
US7318550B2 (en) 2004-07-01 2008-01-15 American Express Travel Related Services Company, Inc. Biometric safeguard method for use with a smartcard
US7314164B2 (en) * 2004-07-01 2008-01-01 American Express Travel Related Services Company, Inc. System for biometric security using a smartcard
US20060130154A1 (en) * 2004-11-30 2006-06-15 Wai Lam Method and system for protecting and verifying stored data
US20060206429A1 (en) * 2005-01-28 2006-09-14 Martinez Pamela J Secure identification apparatus, system and method in a portable electronic device for financial and other secure systems
US9424563B2 (en) 2005-03-11 2016-08-23 Microsoft Technology Licensing, Llc Accessing medial context information using contextual links
DE102005018561A1 (en) * 2005-04-21 2006-11-02 Giesecke & Devrient Gmbh Method for operating a system with a portable data carrier and a terminal
KR100925732B1 (en) * 2005-05-27 2009-11-11 엘지전자 주식회사 Method and device for securely sending bootstrap message in device managment
US7747861B2 (en) * 2005-11-09 2010-06-29 Cisco Technology, Inc. Method and system for redundant secure storage of sensitive data by using multiple keys
US20080025504A1 (en) * 2005-11-23 2008-01-31 Robert Rapp Computer or digital device data encryption/decryption performed by using a random analog source
US8234494B1 (en) 2005-12-21 2012-07-31 At&T Intellectual Property Ii, L.P. Speaker-verification digital signatures
US7574479B2 (en) * 2006-01-24 2009-08-11 Novell, Inc. Techniques for attesting to content
US7917757B2 (en) * 2006-02-09 2011-03-29 California Institute Of Technology Method and system for authentication of electronic communications
US8015484B2 (en) * 2006-02-09 2011-09-06 Alejandro Backer Reputation system for web pages and online entities
US20070226514A1 (en) * 2006-03-24 2007-09-27 Atmel Corporation Secure biometric processing system and method of use
US20070237366A1 (en) * 2006-03-24 2007-10-11 Atmel Corporation Secure biometric processing system and method of use
US8261072B2 (en) * 2006-03-24 2012-09-04 Atmel Corporation Method and system for secure external TPM password generation and use
JP4767057B2 (en) * 2006-03-27 2011-09-07 富士通株式会社 Hash value generation program, storage management program, determination program, and data change verification device
US7451926B2 (en) * 2006-11-03 2008-11-18 Microsoft Corporation Securing payment data
US20100027785A1 (en) * 2006-11-03 2010-02-04 Lasercard Corporation Device and method for security handshaking using mixed media
US8204831B2 (en) * 2006-11-13 2012-06-19 International Business Machines Corporation Post-anonymous fuzzy comparisons without the use of pre-anonymization variants
WO2008078376A1 (en) * 2006-12-25 2008-07-03 Fujitsu Limited Authentication device, authentication method, and authentication program
US20080217396A1 (en) * 2007-03-06 2008-09-11 Securecard Technologies, Inc. Device and method for conducting secure economic transactions
EP2365477A1 (en) * 2007-03-14 2011-09-14 Dexrad (Proprietary) Limited Personal identification device for secure transactions
US20100131414A1 (en) * 2007-03-14 2010-05-27 Gavin Randall Tame Personal identification device for secure transactions
CN101884188A (en) 2007-07-12 2010-11-10 创新投资有限责任公司 Identity authentication and secured access systems, components, and methods
IL187043A0 (en) * 2007-10-30 2008-02-09 Sandisk Il Ltd Secure pipeline manager
TWI350486B (en) * 2007-11-26 2011-10-11 Ind Tech Res Inst Biometrics method and apparatus and biometric data encryption method thereof
US8150108B2 (en) 2008-03-17 2012-04-03 Ensign Holdings, Llc Systems and methods of identification based on biometric parameters
NZ589160A (en) * 2008-04-14 2012-08-31 Lockstep Technologies Pty Ltd Authenticating electronic financial transactions
US8196195B2 (en) * 2008-07-11 2012-06-05 International Business Machines Corporation Role-based privilege management
US20100083000A1 (en) * 2008-09-16 2010-04-01 Validity Sensors, Inc. Fingerprint Sensor Device and System with Verification Token and Methods of Using
WO2010089673A2 (en) * 2009-02-06 2010-08-12 Mikoh Corporation A data authentication technology
WO2010132928A1 (en) * 2009-05-18 2010-11-25 Mikoh Corporation Biometric identification method
US8799666B2 (en) * 2009-10-06 2014-08-05 Synaptics Incorporated Secure user authentication using biometric information
US9092608B2 (en) * 2010-12-14 2015-07-28 Nxp B.V. Random-ID function for smartcards
US8781119B2 (en) 2010-12-14 2014-07-15 Nxp, B.V. User-controlled Random-ID generation function for smartcards
US20130080331A1 (en) * 2011-09-26 2013-03-28 Ebay Inc. System and Method for Instantaneous Retail Payment
US9600443B2 (en) 2012-01-30 2017-03-21 International Business Machines Corporation Tracking entities by means of hash values
US20130318361A1 (en) * 2012-05-22 2013-11-28 Partnet, Inc. Encrypting and storing biometric information on a storage device
US9589399B2 (en) 2012-07-02 2017-03-07 Synaptics Incorporated Credential quality assessment engine systems and methods
CN103095460B (en) * 2013-01-22 2015-07-22 飞天诚信科技股份有限公司 Intelligent card safety communication method
TWI498737B (en) * 2013-03-29 2015-09-01 Mstar Semiconductor Inc Debug authorization determining method for motherboard control module and motherboard control module thereof
CN104112095B (en) * 2013-04-18 2017-09-22 晨星半导体股份有限公司 For motherboard control module except wrong authority determination methods and motherboard control module
US9747469B2 (en) * 2013-07-01 2017-08-29 Silver Spring Networks, Inc. Method and system for cryptographically enabling and disabling lockouts for critical operations in a smart grid network
CN104424419A (en) * 2013-08-30 2015-03-18 鸿富锦精密工业(武汉)有限公司 Encrypting and decrypting method and system based on voiceprint recognition technology
US9473494B2 (en) * 2014-01-09 2016-10-18 Fujitsu Limited Access credentials using biometrically generated public/private key pairs
US10162954B2 (en) * 2014-02-04 2018-12-25 Lenovo (Singapore) Pte. Ltd. Biometric account card
EP3123689B1 (en) * 2014-03-26 2022-05-11 Continental Teves AG & Co. OHG Method and system for improving the data security during a communication process
US9819660B2 (en) * 2014-04-11 2017-11-14 Xerox Corporation Systems and methods for document authentication
US11887073B2 (en) 2014-04-23 2024-01-30 Minkasu, Inc. Securely storing and using sensitive information for making payments using a wallet application
US10796302B2 (en) 2014-04-23 2020-10-06 Minkasu, Inc. Securely storing and using sensitive information for making payments using a wallet application
US10861009B2 (en) 2014-04-23 2020-12-08 Minkasu, Inc. Secure payments using a mobile wallet application
WO2016028864A1 (en) 2014-08-22 2016-02-25 Intelligent Technologies International, Inc. Secure testing device, system and method
US10540907B2 (en) 2014-07-31 2020-01-21 Intelligent Technologies International, Inc. Biometric identification headpiece system for test taking
US10320781B2 (en) 2016-12-08 2019-06-11 Sensoriant, Inc. System and methods for sharing and trading user data and preferences between computer programs and other entities while preserving user privacy
US10410535B2 (en) 2014-08-22 2019-09-10 Intelligent Technologies International, Inc. Secure testing device
WO2016073202A1 (en) * 2014-11-04 2016-05-12 Intelligent Technologies International, Inc. Smartcard
US9336092B1 (en) * 2015-01-01 2016-05-10 Emc Corporation Secure data deduplication
US9774453B2 (en) * 2015-04-01 2017-09-26 Northrop Grumman Systems Corporation System and method for providing an automated biometric enrollment workflow
US10868672B1 (en) 2015-06-05 2020-12-15 Apple Inc. Establishing and verifying identity using biometrics while protecting user privacy
US11140171B1 (en) 2015-06-05 2021-10-05 Apple Inc. Establishing and verifying identity using action sequences while protecting user privacy
US10733415B1 (en) * 2015-06-08 2020-08-04 Cross Match Technologies, Inc. Transformed representation for fingerprint data with high recognition accuracy
US10678958B2 (en) 2015-12-28 2020-06-09 Intelligent Technologies International, Inc. Intrusion-protected memory component
CN107231234B (en) * 2016-03-25 2020-06-09 创新先进技术有限公司 Identity registration method and device
US11120507B2 (en) 2016-04-14 2021-09-14 Sensoriant, Inc. Confirmation and rating of user generated activities
CN105975839B (en) * 2016-06-12 2019-07-05 北京集创北方科技股份有限公司 A kind of biometric devices and method and biometric templates register method
US10516538B2 (en) 2016-11-01 2019-12-24 Netcomm Inc. System and method for digitally signing documents using biometric data in a blockchain or PKI
WO2018140860A1 (en) * 2017-01-27 2018-08-02 Sensoriant, Inc. System and methods for sharing and trading user data and preferences between computer programs and other entities while preserving user privacy
US10645078B2 (en) * 2017-05-01 2020-05-05 Microsoft Technology Licensing, Llc Smart card thumb print authentication
JP6866803B2 (en) * 2017-08-10 2021-04-28 富士通株式会社 Authentication system and authentication method
CN107370601B (en) * 2017-09-18 2023-09-05 确信信息股份有限公司 Intelligent terminal, system and method integrating multiple security authentications
WO2019178272A1 (en) * 2018-03-13 2019-09-19 Ethernom, Inc. Secure tamper resistant smart card
CN109583882A (en) * 2018-10-31 2019-04-05 上海未面信息科技有限公司 A kind of the hardware Wallet System and method of commerce of virtual coin
CN113748642A (en) * 2019-02-26 2021-12-03 上海亚融信息技术有限公司 Digital signature terminal and secure communication method
US11601284B2 (en) * 2019-06-14 2023-03-07 Planetway Corporation Digital signature system based on a cloud of dedicated local devices
US11507355B2 (en) * 2020-07-20 2022-11-22 International Business Machines Corporation Enforcement of signatures for software deployment configuration
US11451402B1 (en) * 2021-07-29 2022-09-20 IPAssets Technology Holdings Inc. Cold storage cryptographic authentication apparatus and system
US20230288477A1 (en) * 2022-03-14 2023-09-14 Duke University Dynamic scan obfuscation for integrated circuit protections

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1998039876A1 (en) * 1997-03-06 1998-09-11 Skylight Software, Inc. Cryptographic digital identity method
WO2000065770A1 (en) * 1999-04-22 2000-11-02 Veridicom, Inc. High security biometric authentication using a public key/private key encryption pairs
DE19922946A1 (en) * 1999-05-14 2000-11-23 Daimler Chrysler Ag Applying authentication data to hardware unit, e.g. chip card having private key by encrypting data using public key and transmitting to hardware unit

Family Cites Families (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4453074A (en) * 1981-10-19 1984-06-05 American Express Company Protection system for intelligent cards
US5485519A (en) * 1991-06-07 1996-01-16 Security Dynamics Technologies, Inc. Enhanced security for a secure token code
US5541994A (en) * 1994-09-07 1996-07-30 Mytec Technologies Inc. Fingerprint controlled public key cryptographic system
US5613012A (en) * 1994-11-28 1997-03-18 Smarttouch, Llc. Tokenless identification system for authorization of electronic transactions and electronic transmissions
US6154879A (en) * 1994-11-28 2000-11-28 Smarttouch, Inc. Tokenless biometric ATM access system
US6269348B1 (en) * 1994-11-28 2001-07-31 Veristar Corporation Tokenless biometric electronic debit and credit transactions
US6012039A (en) * 1994-11-28 2000-01-04 Smarttouch, Inc. Tokenless biometric electronic rewards system
US5870723A (en) * 1994-11-28 1999-02-09 Pare, Jr.; David Ferrin Tokenless biometric transaction authorization method and system
US6230148B1 (en) * 1994-11-28 2001-05-08 Veristar Corporation Tokenless biometric electric check transaction
US6192142B1 (en) * 1994-11-28 2001-02-20 Smarttouch, Inc. Tokenless biometric electronic stored value transactions
US5764789A (en) * 1994-11-28 1998-06-09 Smarttouch, Llc Tokenless biometric ATM access system
FR2733379B1 (en) * 1995-04-20 1997-06-20 Gemplus Card Int PROCESS FOR GENERATING ELECTRONIC SIGNATURES, ESPECIALLY FOR SMART CARDS
US5768389A (en) * 1995-06-21 1998-06-16 Nippon Telegraph And Telephone Corporation Method and system for generation and management of secret key of public key cryptosystem
US6011858A (en) * 1996-05-10 2000-01-04 Biometric Tracking, L.L.C. Memory card having a biometric template stored thereon and system for using same
US5991408A (en) * 1997-05-16 1999-11-23 Veridicom, Inc. Identification and security using biometric measurements
US6101477A (en) * 1998-01-23 2000-08-08 American Express Travel Related Services Company, Inc. Methods and apparatus for a travel-related multi-function smartcard
US6484260B1 (en) * 1998-04-24 2002-11-19 Identix, Inc. Personal identification system
EP1081632A1 (en) 1999-09-01 2001-03-07 Keyware Technologies Biometric authentication device
US20020095587A1 (en) * 2001-01-17 2002-07-18 International Business Machines Corporation Smart card with integrated biometric sensor

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1998039876A1 (en) * 1997-03-06 1998-09-11 Skylight Software, Inc. Cryptographic digital identity method
WO2000065770A1 (en) * 1999-04-22 2000-11-02 Veridicom, Inc. High security biometric authentication using a public key/private key encryption pairs
DE19922946A1 (en) * 1999-05-14 2000-11-23 Daimler Chrysler Ag Applying authentication data to hardware unit, e.g. chip card having private key by encrypting data using public key and transmitting to hardware unit

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
SEIFFERT H: "BIOMETRISCHE VERFAHREN" NACHRICHTENTECHNIK ELEKTRONIK, VEB VERLAG TECHNIK. BERLIN, DE, vol. 48, no. 6, November 1998 (1998-11), pages 13-15, XP000799262 ISSN: 0323-4657 *

Cited By (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2397153A (en) * 2003-01-11 2004-07-14 Francis Muir Kerrigan Handwritten signature check to allow use of digital certificate
FR2852469A1 (en) * 2003-03-11 2004-09-17 Mathieu Arnaud Data encryption/decryption method, for data transmission, involves identification of the operator, and implementing encryption algorithm for which the encryption key once programmed becomes inaccessible
GB2401015A (en) * 2003-04-23 2004-10-27 Hewlett Packard Development Co Security method and apparatus using biometric data
GB2401015B (en) * 2003-04-23 2006-01-04 Hewlett Packard Development Co Security method and apparatus using biometric data
US7693279B2 (en) 2003-04-23 2010-04-06 Hewlett-Packard Development Company, L.P. Security method and apparatus using biometric data
WO2005101965A2 (en) * 2004-03-25 2005-11-03 National University Of Ireland Secure digital content reproduction using biometrically derived hybrid encryption techniques
WO2005101965A3 (en) * 2004-03-25 2006-07-20 Nat Univ Ireland Secure digital content reproduction using biometrically derived hybrid encryption techniques
AU2006203591B2 (en) * 2004-04-26 2007-11-01 Trek 2000 International Ltd. Portable Data Storage Device with Encryption System
GB2421098A (en) * 2004-04-26 2006-06-14 Trek 2000 Int Ltd Portable data storage device with encryption system
GB2421098B (en) * 2004-04-26 2007-01-10 Trek 2000 Int Ltd Portable data storage device with encryption system
US8037309B2 (en) 2004-04-26 2011-10-11 Trek 2000 International Ltd. Portable data storage device with encryption system
CN101116284B (en) * 2004-12-17 2012-11-14 艾利森电话股份有限公司 Clone resistant mutual authentication method, identity module, server and system in a radio communication network
WO2006064359A1 (en) * 2004-12-17 2006-06-22 Telefonaktiebolaget Lm Ericsson (Publ) Clone-resistant mutual authentication in a radio communication network
EP1760667A3 (en) * 2005-08-24 2007-08-29 Agilent Technologies, Inc. Biometric identification device
EP1760667A2 (en) * 2005-08-24 2007-03-07 Agilent Technologies, Inc. Biometric identification device
US8689322B2 (en) 2006-07-11 2014-04-01 Lg Electronics Inc. Authentication method for information apparatus
CN102150446A (en) * 2008-09-09 2011-08-10 爱立信电话股份有限公司 Authentication in a communication network
US20150143511A1 (en) * 2012-06-14 2015-05-21 Vlatacom D.O.O. System and method for high security biometric access control
WO2016088144A1 (en) 2014-12-05 2016-06-09 Giuseppe Farina Digital signature with custom fingerprint
CN106716430A (en) * 2014-12-05 2017-05-24 朱塞佩·法里纳 Digital signature with custom fingerprint
EP3402154A4 (en) * 2016-01-08 2018-11-14 Tencent Technology (Shenzhen) Company Limited Service processing method, device, and system
US10708065B2 (en) 2016-01-08 2020-07-07 Tencent Technology (Shenzhen) Company Limited Service processing method, device and system
US20220286435A1 (en) * 2019-12-13 2022-09-08 Vmware, Inc. Dynamic variance mechanism for securing enterprise resources using a virtual private network

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