Source: https://patents.google.com/patent/JP4531140B2/en
Timestamp: 2019-12-12 03:50:39
Document Index: 514569012

Matched Legal Cases: ['art 24', 'art 40', 'art 42', 'art 42', 'art 40', 'art 24', 'art 24', 'Application No. 08']

JP4531140B2 - Biometric certificate - Google Patents
Biometric certificate Download PDF
JP4531140B2
JP4531140B2 JP54858698A JP54858698A JP4531140B2 JP 4531140 B2 JP4531140 B2 JP 4531140B2 JP 54858698 A JP54858698 A JP 54858698A JP 54858698 A JP54858698 A JP 54858698A JP 4531140 B2 JP4531140 B2 JP 4531140B2
JP54858698A
JP2002501700A (en
デュルード，ロバート
マスグレイブ，クライド
ジーティーイー サイバートラスト ソルーションズ インコーポレイテッド
ベリゾン コーポレット サービシーズ グループ インコーポレイテッド
1997-05-09 Priority to US60/046,012 priority
1998-05-08 Application filed by ジーティーイー サイバートラスト ソルーションズ インコーポレイテッド, ベリゾン コーポレット サービシーズ グループ インコーポレイテッド filed Critical ジーティーイー サイバートラスト ソルーションズ インコーポレイテッド
1998-05-08 Priority to PCT/US1998/009770 priority patent/WO1998050875A2/en
2002-01-15 Publication of JP2002501700A publication Critical patent/JP2002501700A/en
2010-08-25 Publication of JP4531140B2 publication Critical patent/JP4531140B2/en
This disclosure relates generally to secure communications and, in particular, to the issuance and handling of certificates for verifying messages (whether they are originated by legitimate procedures).
In recent years, the use of computer networks and telecommunications systems for various processes has increased significantly. Conventional transactions such as shopping, purchasing, banking, and investment services are experiencing growth in new directions through the application of computers and telecommunications.
While traditional transactions have typically been based on person-to-person, many telecommunications-based communications are remote and out of sight (ie, telecommunications-based parties Will never meet) and is being done.
Along with such telecommunications-based transactions, remote electronic services, including Internet-related purchasing, home banking, electronic transfer of funds, and all types of consumer-related services The need to recognize and confirm the authenticity of users is increasing. Such electronic transactions also include users of data in remote repositories (databases), such as non-sensitive but sensitive data such as confidential records, medical records, billing records, and corporate records. Other related areas requiring appropriate or complete security include authentication of signers of electronic documents such as contracts. In general, any value electronic service on a local or public network requires requestor authentication to protect the value of the service. More valuable services usually require a more stringent degree of authentication.
Historically, access to electronic services has been granted through identification techniques such as account names and authentication techniques such as personal identification numbers (PINs) and passwords. Such authentication techniques are not recognized as very secure due to the fact that PINs and passwords are easily predicted, difficult to remember, and easy to find through a thorough automatic search. Recently, digital certificates have been raised as the first candidate for authentication of electronic transactions.
Ideally, digital certificates, such as those specified by the X.509 and ANSI X.9 standards, are documents by a notary public in a person-to-person transaction by a user or buyer and seller. It makes it possible to authenticate electronic documents and transactions in a manner similar to that of authentication. The combination of cryptography, including public key cryptography, and the use of digital certificates is a larger choice for online electronic transactions that impose a greater level of confidence in electronic service customers. Gives a degree of integrity, privacy and authentication.
For example, such an authentication certificate in the prior art is shown in FIG. 1 where a message and a public key are a data set 10 (which is a sequence, subject, ie, an individual or company with a public key). It may be generated by concatenating a subject unique ID 12 corresponding to an entity such as. As shown in FIG. 1, the fields of the data set 10 are the version number, the serial number for the certificate with respect to the order of the generated certificates, the name of the issuer, and the validity that determines the expiration date of the certificate. It may include a period, the name of the entity identifying the user or person sending the transaction, and other extended data indicating privileges and certificate attributes such as access privileges.
The user's subject unique ID 12 may include, for example, an M bit indicating a social security number or password associated with the user sending the transaction. Usually, it becomes like the following formula.
M ≒ 50 bits ≒ 6 bytes or less
The authentication certificate, which is the data set 10 in which the public key and the transaction data are linked, next uses a hash function such as a one-way hashing function to generate a hash value. And processed. The hash value is then signed; ie, encrypted using the user's private key to generate the digital signature 14. The digital signature 14 is then added to the authentication certificate and message, for example, an electronic transaction for transactions over the network.
The X.509 and ANSI X.9 standards described above incorporate a hash function to generate a unique digital signature 14 from each data set 10. Such a one-way hash function can make it infeasible to obtain transaction data solely from a hash value in a computational manner.
The prior art use of authentication certificates incorporating digital certificates improves transactions that utilize electronic authentication, but it has not yet reached the point of actually authenticating human traders such as customers. Absent. Instead, such digital certificates in the prior art only authenticate private cryptographic keys used for transactions or signatures. Since personal keys are physically stored in a computer and / or electronic storage device, such personal keys are not physically related to the reality associated with the personal key. For example, the personal key may be a group of people, an organization such as a company, or a group of organizations. Therefore, the personal key is not limited to an actual person.
Indices of personal identification may be divided into three major categories: indicia based on the physical characteristics of the individual, ie what the individual is; an individual, such as a password that is known to the individual An indication based on the knowledge of; and an indication based on the assigned information, ie which individual is associated with the identified individual, or what is associated with the identified individual. The first category with physical indicia relates to individual biometric data and is unique to each individual (although exceptions to the same genetic composition of twins are known), genetic composition, fingerprints, Includes unique features such as palm, iris and retina appearance.
The second and third categories, with known and / or assigned signs, include social security numbers, mother's pre-marriage names, and card numbers for long distance calls for identity verification. Such as an access number, and personal password, information that the individual knows and / or is responsible for storing and publishing. The second category is also personally responsible and / or responsible for carrying and publishing something like a driver's license and passport for identity verification.
The personal key is an assigned sign. Thus, the lack of physical identification of (human) traders with personal keys is a drawback of prior art identity verification techniques that use such personal keys. Since many identity verification and security techniques rely on a second category of identification, other identity verifications and security in the prior art are similarly disadvantageous.
Techniques for identifying individuals based on a first category of identification are known; ie, by physical characteristics. For example, US Pat. No. 4,641,349 to Flom et al. Discloses an iris recognition execution system. Because such physical features are usually unique to each individual, such physical feature identification techniques require complex computational operations for capturing and accurate classification of physical features. Accordingly, identification indicia for such physical features generally require a relatively large amount of memory for storage and classification of such identification indicia.
So far, the relatively large amount of computational requirements for identity verification techniques based on physical characteristics has hindered the execution of such identity verification techniques in electronic transactions.
It can now be appreciated that biometric identification and classification in the identity verification of electronic transactions provides increased security and accuracy.
Disclosed herein is a biometric certificate system and method that implements an end-to-end security mechanism that combines a customer's biological identity with a digital certificate. The biometric system includes a biometric input device that validates an electronic transaction involving the user and reacts to a set of physical characteristics of the user, and corresponding first biometric data relating to the physical condition of the user. Is generated.
Biological data is stored in advance as a biometric certificate in the biometric database of the biometric certificate processing system by receiving data corresponding to the physical characteristics of the registered user through the biometric input device. The Subsequent transactions performed on the network have transaction biometric data generated from the current physical characteristics of the user that is added to the first transaction data, which is then pre-stored in the biometric database. The user's identity is verified by comparing the user's physical characteristics with biometric data.
The features of the disclosed biometric certificate system and method will be readily apparent and understood by reference to the following detailed description of preferred embodiments of the invention in conjunction with the accompanying drawings.
FIG. 1 illustrates a prior art identity verification certificate.
FIG. 2 illustrates the biometric certificate of the disclosed biometric certificate system and method.
FIG. 3 illustrates a biometric certificate registration device.
FIG. 4 illustrates the transmission part of an electronic transaction.
FIG. 5 illustrates the receiving and processing part of an electronic transaction.
With reference to the drawings in clear detail, as shown in FIG. 2, this disclosure, together with a common reference number that is identical or identical to the same elements, procedures, and features, includes a subject unique ID 18 and biometric data 20. A biometric certificate system and method for generating a biometric certificate from a data set 16 comprising: As shown in FIG. 2, a digital signature 22 generated using the data set 16 is added to the biometric certificate data set 16 to form a biometric certificate.
The disclosed biometric certificate system is shown in FIGS. 3-5. 3 shows the biometric registration part 24, FIG. 4 shows the transmission part 40, and FIG. 5 shows the reception part 42. The biometric enrollment portion 24 processes the input associated with the user's biometric to generate a user-specific biometric certificate, such as the biometric database and / or smart card memory. Stored in the memory. Once such a biometric certificate is stored, the first user can make a biometrically secured electronic transaction sent from the sending portion 40 of FIG. 4 to the receiving portion 42 of FIG. Yes, where the electronic transaction is proved legitimate and processed.
With reference to FIG. 3, the registration portion 24 has a set of input devices including a registered biometric input device 26 and a user data input device 28. The biometric input device 26 generates registered biometric data from the user's physical characteristics such as fingerprints, palms, iris and retina appearance, voiceprints, and the like.
The registered biometric input device 26 could include a video camera and / or other video reader to input fingerprints, palms, iris appearance, and retina appearance. For example, companies such as IDENTIX, Fujitsu, and Authentec supply such devices for reading fingerprints, and RECOGNITION SYSTEMS Supplying device to read. EYE-DENTIFY is an example of a company that supplies retinal imaging devices, and IRISCAN and sensor (SENSAR) are examples of companies that provide iris imaging devices.
Alternatively, the registered biometric input device 26 may be applied to receive user voice characteristics. For example, a microphone may be used in conjunction with a voice digitizer to receive and digitize voice. Companies such as BBN, T-NETIX, and ALPHA-TEL provide such devices for receiving and digitizing audio to generate corresponding biometric data.
Biometric input devices known in this field may be used by other bodies, such as the face or body appearance through the camera, as well as the user's genetic composition by means of genetic material collection, such as a blood lancet. May be used to receive the feature.
The biometric certificate shown in FIG. 2 is a biometric certificate generator 32 of a registration authority 34 that processes registered biometric data from the registered biometric input device 26 and a user ID from the user data input device 28. It is generated by processing the user input data such as the above and the processing of the user's public key 30.
Such input data generates a digital biometric certificate 38 that is sent to memory for storage and subsequent use to verify the identity of the first user's electronic transaction associated with the first user. In order to do this, it is processed with the personal key 36 of the certification authority.
The registered biometric data 20 captured in the biometric certificate of FIG. 2 is obtained directly from the subject's physical characteristics through the biometric input device 26. The user's subject unique ID 18 may include M bits, and is typically M≈50 bits≈6 bytes or less. On the other hand, the biometric data 20 usually includes data much larger than the subject unique ID 18. In general, the biometric data 20 has fairly large N bits, such as about 500 bits. In fact, the amount of biometric data 20 is unlimited; for example, a fingerprint can be used to obtain a fingerprint appearance that is the key to uniquely distinguishing the fingerprint, or to obtain data representing the pixels of the entire fingerprint. It may also be scanned visually for a solution. Thus, the biometric data 20 may require an amount of memory to store, such as 2KB or 4MB. Thus, in the preferred embodiment, N is much larger than M.
Prior to use of the disclosed biometric certificate system and method, the biometric database 66 is constructed using, for example, a registration process in which an individual is required to provide proof of identity; Identification information such as a certificate, driver's license, current bank account data, credit card account data, etc. is supplied to the registration authority. Once the registrar meets the conditions with such certification, identification information is entered into the registration system 24 and at the same time the biometric measurement is at least one biometric input device as shown in FIG. Ingested using.
Such stored biometric measurements form “pre-stored” biometric data in the biometric database 66 corresponding to the “pre-registered” individual performing the registration process described above. Therefore, in the range of the crossover error rate, an individual registered in advance is confirmed to be strictly the person himself, and an individual who is not registered is rejected.
The biometric certificate 38 is then sent for storage in a memory, such as a biometric database or smart card memory, as shown in memory 66 of FIG. The registration system 24 of FIG. 3 is coupled to the network so that the user's corresponding biometric certificate is directly and securely stored in the memory 66, such as the central biometric database of the network or the personal memory of the user's smart card. Placed in the central registration station. Thus, the central biometric database as memory 66 could be provided to a network of users who are doing business such as electronic commerce over the Internet or other networks. Alternatively, the first user's smart who has memory 66 so that kiosks, terminals and other devices such as ATM can access memory 66 and obtain the first user's secured biometric certificate. The card will be able to pre-store biometric certificates.
Referring to FIGS. 4-5, the first user uses the transaction system 40 of FIG. 4 to conduct an electronic transaction. The first user uses the trading biometric input device 44 to generate trading biometric data 46 as a current biometric associated with the first user. The first user also generates transaction first data 50 through the transaction data input device 48. For example, the transaction first data 50 may include a selection of purchased products on the Internet, or may include electronic funds transfer through ATM. Transaction first data 50 may also include user ID data that identifies the first user and associates the first user with the remainder of the transaction first data.
As shown in FIG. 5, both the transaction biometric data 46 and the transaction first data 50 are received in the transaction receiving part 42, so that they can be sent in the clear without being changed over the network 60. It may be good or, optionally, sent encrypted with additional cryptographic techniques known in the art.
Furthermore, in the transaction transmission part 40 of FIG. 4, both the transaction biometric data 46 and the transaction first data 50 are generated by using a first hash function (function, for example, a one-way hash function) in order to generate a first hash value. ) 52. RSA and SHA-1 are examples of public key encryption methods and one-way hash methods used for encryption and hash functions. The RSA method is described, for example, in US Pat. No. 4,405,829 to Rivest et al., Which is also incorporated herein by reference. The SHA-1 method is described, for example, in US Pat. No. 5,623,545 to Childs et al., Which is also referenced herein.
The first hash value is then sent to a digital signature function 54 where the hash value is signed; i.e., the first user's individual to generate a digital signature 58 while incorporating the first hash value. It is encrypted using the key 56. The digital signature 58 is then sent to the network 60.
The set of transaction data comprising transaction biometric data 46, transaction first data 50, and digital signature 58 may be sent as separate bitstreams and / or data packets, or in bit units of a data sequence May be sent together by adding a related data sequence using a concatenation such as an adder for the addition of. In addition, software may be used to add such data. Data 46, 50, and 58 are sent to a network 60, which may include telephone lines, satellite communications, and / or the Internet.
With reference to FIG. 5, after receiving an electronic transaction from network 60, receiving portion 42 sends user ID data 62 from transaction first data 50 to biometric certificate extractor 64. The biometric certificate extractor 64 uses the user ID data 62 to access a corresponding biometric certificate stored in a memory 66 such as a biometric database or smart card memory. That is, if the first user has previously stored a corresponding biometric certificate generated from the biometric characteristics of the first user using the registration system 24 shown in FIG. Will be retrieved according to the first user's user ID, such as a social security number.
The memory 66 may receive the user ID data 62 or may receive instructions from the biometric certificate extractor 64 to retrieve any biometric certificate corresponding to the first user's user ID data 62. You may receive it. If there is no valid one, the receiving portion 42 may generate a rejection signal to the biometric certificate extractor 64, for example, to indicate that there is no valid biometric certificate.
Thus, any user who requests identification of an electronic transaction but fails to register (ie, has a corresponding biometric certificate pre-stored in memory 66) is deemed legitimate. Absent. The receiving portion 42 may generate a corresponding non-identity message or may send such a message over the network 60 to the sending portion 40 to indicate that there is no identity verification in the transaction.
On the other hand, if the biometric certificate corresponding to the first user with the corresponding user ID data is valid, the biometric certificate 68 is retrieved and the biometric certificate 68 using the public key 70 of the certification body. Is sent to the biometric certificate extractor 64 for decryption. Thus, biometric certificate extractor 64 obtains decrypted registered biometric data 72 associated with the first user and decrypted user public key 74.
The decrypted public key 74 is then sent to a decryptor to decrypt the digital signature sent from the transmission portion 24 through the network 60. The decryptor 76 then extracts the first hash value embedded in the digital certificate 58 by the first hash function (function) 52.
The receiving part 24 uses the second hash function (function) 78 identical to the first hash function (function) 52 of the transmitting part 24 to attempt to reproduce the first hash value, so that the first hash value is Confirm that it is legitimate. The second hash function (function) 78 is a transaction first with the transaction biometric data 46 transmitted from the transmission portion 24 in clear text or optionally encrypted with additional cryptographic techniques known in the art. Data 50 is received from the network 60. The second hash function (function) 78 thus generates a second hash value from the same input data applied to the first hash function (function) 52.
The first and second hash values are then compared by a first classifier 80, such as a comparator or software matching routine, to determine a match between the first and second hash values. A first verification signal 82 is generated to indicate whether both independently generated hash values match.
Thus, if they match, the receiving portion 42 confirms that both the trading biometric data 46 and the trading first data 50 are genuine in combination and have not been changed during transfer over the network 60. decide.
Further, the receiving portion 42 determines whether the electronic transaction is indeed from the indicated user corresponding to the trading biometric data 46; that is, the trading biometric data 46 may not be reliable, or The decrypted user's public key 74 will be a public key that is usually divided into a specific group of employees, etc. of a specific company.
Thus, the receiving portion 42 has generated the first user's biometric data generated during the transaction as the transaction biometric data 46 as previous data from the first user during the registration process using the registration system 24. Compare with registered biometric data. The registered biometric data decrypted by the biometric certificate extractor 64, which becomes the decrypted registered biometric data 72, is encrypted over the network in clear text, or optionally with additional cryptographic techniques known in the art. And applied to the second classifier 84 for comparison with the transmitted biometric data 46.
The second classifier 84 may be a comparator for comparison of biometric data to obtain a decision value, or a software routine or other hardware / software device that performs data matching. Alternatively, the second classifier 84 classifies (determines) whether the set of biometric data 46 and 72 obtained using the biometric input device within the error tolerance is obtained from the same individual. It may be a trained (recognized memorized) neuro-network and / or a fuzzy logic classifier. Such a classification method (for identification of images and data sequences using a neuronetwork) is described in US Pat. No. 5,619,620 to Eccles, which is also incorporated herein by reference. .
The second classifier 84 generates a decision in the form of a second verification signal 86, such as a logical value corresponding to YES or NO or positive or incorrect, indicating verification of the identity of the user sending the electronic transaction. . Alternatively, the matching decision may be a numerical value corresponding to, for example, a percentage of authenticity certainty. The second classifier 86 may include a predetermined threshold that is to be exceeded to proceed with the electronic transaction, such as 98% identity verification.
The receiving portion 42 shown in FIG. 5 responds to verification signals 82, 86 to process transaction first data, such as online purchases or electronic funds transfers. Accordingly, a transaction processing system (not shown) could also be included in the receiving portion 42. Alternatively, the receiving portion 42 of FIG. 5 may be connected to an external transaction processing system.
In another alternative embodiment, the receiving portion includes the AND circuit shown in FIG. 5, such as a logical AND gate or other logic mechanism, to generate the final match signal 90 from the match signals 82, 86. You can also. Thus, a final match that reflects the safety of all transactions only when both classifiers 80 and 84 have determined that the transaction biometric data 46, as well as the transaction first data 50, has been transmitted sufficiently securely over the network. A signal 90 is generated.
Whereas the first classifier 80 is a perfect classifier (ie, only a perfect match of the hash value will generate an identity confirmation), the second classifier 84 is a second classifier error tolerant. Produce a percentage that reflects the relative identity and / or the number graded on the identity grade to reflect the crossover error rate associated with biometrics Also good. Accordingly, application of fuzzy logic may be used to generate a clear determination of identity of the trading biometric data 46 as the second verification signal 86.
When using a biometric certificate, the crossover error rate for identification and identification may be less than about 2.0% and may be less than 0.5%. The application of further advanced biometric input devices 26, 44 and classifiers 80, 84, known in the art, will provide substantially complete identity verification for any individual on the planet. .
The disclosed biometric certificate system and method is based on the network described in Applicant's US Patent Application No. 08 / 770,824 (title “VIRTUAL CERTIFICATE AUTHORITY”) filed Dec. 20, 1996. Can be included, and is incorporated herein by reference. Such a system is adapted to include the use of the biometric certificate described herein to cryptographically combine the user's biometric data with identification information to form a biometric certificate. Will be able to. The use of public key technology allows the transaction / signature verification process to be done either centrally or remotely, depending on the needs of the transaction.
Although the disclosed biometric certificate system and method has been shown and described in detail herein with reference to a preferred embodiment, it has been described in various forms and details without departing from the scope and spirit of the invention. It can be understood that changes are made. Accordingly, any modifications as proposed herein are not limited and are considered to fall within the scope of the present invention.
That the transfer of the transaction first data and transaction biometric data is valid and a biometric certificate system to authenticate that the user is legitimate authenticating electronic transactions from a user, the The electronic transaction includes transaction biometric data, transaction first data, and a digital signature generated therefrom,
A registered biometric input device responsive to input of the set of physical characteristics of the user and generating registered biometric data related to and corresponding to the physical condition of the user;
Before Symbol registered biometric data, and user ID of the user, and biometric certificate generator for generating a digital biometric certificate and a public key of said user,
A transaction biometric input device responsive to input of the set of user physical characteristics to generate transaction biometric data related to and corresponding to the user's physical condition;
A transaction data input device for generating the transaction first data which is the transaction data of the user;
A digital signature generator that generates a digital signature from the first hash value generated from the transaction first data and the transaction biometric data, and the user's personal key;
A biometric certificate extractor for responding to a digital biometric certificate corresponding to user registered name (ID) data contained in the first transaction data and for extracting registered biometric data and user public key therefrom;
A second classifier for generating a second authentication signal for authenticating a user by comparing the registered biometric data and the traded biometric data;
A decryptor in response to the public key to retrieve the first hash value from the digital signature;
A second hash value generated therefrom in response to the trading biometric data and the trading first data;
A first classifier for generating a first authentication signal for authenticating that the transfer of the transaction first data and the transaction biometric data is valid by comparing the first hash value ;
A biometric certificate system comprising.
The trading biometric input device is at least
A visual reader that captures the user's iris image;
A visual reader that captures images of the user ’s palms,
A visual reader that captures images of the user's retina;
A visual reader that captures images of the user's face;
A body image reader that captures the user's body information;
An audio converter that receives audio from the user;
The biometric certificate system of claim 1, comprising any one of:
The biometric certificate system of claim 1, wherein the digital signature generator encrypts the first hash value using the personal key.
The biometric certificate system of claim 1, comprising a concatenator for combining the digital signature and the transaction first data.
The biometric certificate system of claim 4, wherein the coupler includes an adder.
The biometric certificate system of claim 1, wherein the second classifier is a neuronetwork or a fuzzy logic classifier.
Means for generating enrollment biometric data related to and corresponding to the physical condition of the user in response to input of the set of physical characteristics of the user;
Before Symbol registered biometric data, and user ID of the user, means for generating a digital biometric certificate and a public key of said user,
Means for generating transaction biometric data relating to and corresponding to the physical condition of the user in response to input of the set of physical characteristics of the user;
Means for generating the transaction first data which is the user transaction data;
Means for generating a digital signature from the first hash value generated from the transaction first data and the transaction biometric data, and the user's personal key;
Means for responding to a digital biometric certificate corresponding to user registered name (ID) data contained in the first transaction data, and extracting registered biometric data and user public key therefrom;
Means for generating a second authentication signal for authenticating a user by comparing the registered biometric data and the traded biometric data;
Means for responding to the public key and retrieving the first hash value from the digital signature;
Means for generating a first authentication signal for authenticating that the transfer of the transaction first data and transaction biometric data is valid by comparing with the first hash value ;
Using the biometric certificate system according to claim 1, the transfer of the transaction first data and the transaction biometric data is valid, and the electronic transaction from the user is verified by authenticating that the user is valid. A method for authenticating, wherein the electronic transaction includes transaction biometric data, transaction first data, and a digital signature generated therefrom ,
The registered biometric input device is responsive to input of the user's set of physical characteristics to generate registered biometric data relating to and corresponding to the physical condition of the user;
A step wherein the biometric certificate generator, to produce a pre-Symbol registered biometric data, and user ID of the user, a digital biometric certificate and a public key of said user,
The transaction biometric input device is responsive to input of the user's set of physical characteristics to generate transaction biometric data relating to and corresponding to the user's physical condition;
The transaction data input device generating the transaction first data which is the transaction data of the user;
The digital signature generator generates a digital signature from the first hash value generated from the transaction first data and the transaction biometric data, and the user's personal key;
The biometric certificate extractor responds to a digital biometric certificate corresponding to user registered name (ID) data included in the transaction first data, and extracts registered biometric data and user public key therefrom. When,
The second classifier generating a second authentication signal for authenticating that the user is valid by comparing the registered biometric data and the trading biometric data;
The decryptor responding to the public key and retrieving the first hash value from the digital signature;
Response before Symbol transaction biometric data and the transaction first data, and a second hash value generated therefrom,
By the previous SL first hash value is the first classifier for comparing the steps of the transaction first data and transaction biometric data transfer to generate a first authentication signal that authenticates that it is valid,
A method for authenticating an electronic transaction comprising:
Generating the trading biometric data comprises:
Generating at least one of an image of the user's iris, an image of the user's palm, an image of the user's retina, an image of the user's face, an image of the user's body, audio from the user, Item 9. A method for authenticating an electronic transaction according to Item 8.
9. The method for authenticating an electronic transaction as recited in claim 8, wherein generating the digital signature includes encrypting the first hash value using the personal key.
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