CN103607282A - Identity fusion authentication method based on biological characteristics - Google Patents
Identity fusion authentication method based on biological characteristics Download PDFInfo
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Abstract
The invention belongs to the field of data communicating and information security, and especially relates to an identity fusion authentication method based on biological characteristics, for solving the problems in the prior art. According to the invention, only a small amount of biological characteristic information needs to be reserved, a PKI system structure is simplified, a private key may not be saved, and the system safety and reliability are improved. Through a biological characteristic acquisition device, the private key of a user is calculated, a verification value is calculated, and if the verification value is consistent with a reserved verification value, the authentication succeeds. The method provided by the invention is applied to the field of information security.
Description
Technical field
The invention belongs to data communication and information security field, relate in particular to a kind of identity fusion authentication method based on biological characteristic.
Background technology
Information age, along with the develop rapidly of Networks and Communications technology and the continuous expansion in mankind's physics and dummy activity space, how precise Identification user's identity, protection information safety, become a key issue that must solve.Meanwhile, information system has proposed requirements at the higher level for accuracy, fail safe and the practicality of user identity identification.Traditional identification can not meet easy-to-use fail safe as methods such as password, cipher key carrier, easily forges and loses, and must seek safer identification new way reliable, easy to use.So biological identification technology arises at the historic moment, become a kind of new identity recognizing technology.Living things feature recognition has succinct quick, safety, reliable, accurate, does not need to remember complicated password, also does not need to carry the thing of key, smart card and so on.Biological identification technology identification be people itself, because everyone biological characteristic has the uniqueness different from other people and constant stability over a period to come, be difficult for forging and personation, this has just directly determined that this authentication mode is safer, more convenient.In addition, biological identification technology, by means of the present computer technology, is easy to realize integration, the automatic management of safety, monitoring, management system.Due to its wide application prospect, huge Social benefit and economic benefit, extensive concern and the great attention of various countries have been caused.The developed country such as the U.S., Britain is strictly adopting fingerprint technique aspect airport, entry and exit etc. all, and India has also set up whole people's fingerprint database, for identity card system.The biometrics identification technology of China has also been obtained considerable progress, as the 2008 Beijing Olympic Games has adopted iris recognition technology, in daily life, mobile phone, mouse and keyboard, memory device etc. with living things feature recognition (being mainly fingerprint recognition) have also been there are.Have the whole world in view, biometrics identification technology is in the ascendant, and not only government considers and work of a well-known writer input for national security, and all kinds of companies are also day by day dense to the interest of biometrics identification technology.
Biological identification technology (Biometric Identification Technology) refers to a kind of technology of utilizing human body biological characteristics to carry out identification.More specifically, biometrics identification technology is exactly by close combinations of high-tech means such as computer and optics, acoustics, biology sensor and biostatistics principles, utilizes the intrinsic physiological property of human body and behavioural characteristic to carry out the evaluation of personal identification.Each individuality has unique physiological property or the behavior that can measure or can automatically identify and verify, i.e. biological characteristic.It can be divided into physiological characteristic (as fingerprint, image surface, iris, palmmprint etc.) and behavioural characteristic (as gait, sound, person's handwriting etc.).Living things feature recognition is exactly, according to unique biological characteristic between each individuality, it is identified to the authentication with identity.Biological identification technology samples biological characteristic, extracts its unique feature and changes into digital code, and further these code combinations being formed to feature templates.When people carry out authentication alternately with recognition system, recognition system is obtained its feature and is compared with the feature templates in database, to determine whether coupling, thereby determines to accept or refusal user access.
In current research and application, biometrics identification technology is mainly applied to computer vision, image processing and pattern recognition, computer audio, speech processes, multi-sensor technology, virtual reality, computer graphics, visualization technique, computer-aided design, intelligent robot sensory perceptual system etc.Traditional identity identifying method comprises identify label article (as certificate, atm card etc.) and identify label (as username and password), but owing to being mainly by foreign object, once stolen or forget, its identity is just easily pretended to be by other people or replaced.According to related data, show, due to certificate or password, to lose the loss causing huge every year.
The present invention by user biological feature extraction after, adopt distinctive coded system, biological information is encoded into the private key based on elliptic curve cipher, sign and issue the public key certificate that this private key for user is corresponding, private key need not retain, and just at certificate server end, retains this public key certificate.
When user logins, the authentications such as input user ID, password gather this user biological feature by biometric device after passing through, on this locality/physical characteristics collecting equipment, calculate this private key for user, and calculate check value, if consistent with the check value retaining, authentication is passed through; Otherwise failure, returns to user's failure information.By this private key signature message, server end carries out sign test according to this user's public key certificate (this certificate and user's ID binds), and while only having sign test to pass through, this user logins just success;
The major advantage of this invention is to have system only need retain a small amount of biological information, has simplified the architecture of PKI, and private key can be preserved, and increases the fail safe reliability of system.Than traditional, merely based on identity identifying methods such as USB-KEY, IC-cards, there is higher fail safe, flexibility and reliability, there is the anti-lost and anti-function of stealing.
This invention adopts distinctive biological characteristic coding techniques, has stronger fail safe and loss prevention function, can be widely used in the stricter application scenario ，Ru bank of authentication requirement, military affairs, customs etc.
.
Summary of the invention
Technical problem to be solved by this invention is: the problem existing for prior art, provides a kind of identity fusion authentication method based on biological characteristic.It needs to retain a small amount of biological information, has simplified the architecture of PKI, and private key can be preserved, and increases the fail safe reliability of system.Than traditional, merely based on identity identifying methods such as USB-KEY, IC-cards, there is higher fail safe, flexibility and reliability, there is the anti-lost and anti-function of stealing.
The technical solution used in the present invention is as follows:
A kind of identity fusion authentication method based on biological characteristic comprises:
Step 1: biological characteristic extracts, gathers user biological characteristic information with biological characteristic extraction equipment;
Step 2: biological information coding: according to user biological characteristic information, in conjunction with being used for ID, password, on this locality/physical characteristics collecting equipment, realize the computing of ellipse curve public key cipher algorithm private key, obtain this user's private key, on physical characteristics collecting equipment, only need to retain the check value of 32 bytes of this private key;
Step 3: client public key certificate issuance: on physical characteristics collecting equipment, according to private key for user, calculate the corresponding PKI based on elliptic curve cryptography, sign and issue this public key certificate to server;
Step 4: user's login: when user logins, after input user ID, password authentication pass through, gather this user biological feature by biometric device, on physical characteristics collecting equipment, calculate this private key for user, and calculate check value, if consistent with the check value retaining, authentication is passed through; Otherwise failure, returns to user's failure information; By this private key signature message, server end carries out sign test according to this user's public key certificate (this certificate and user's ID binds), and while only having sign test to pass through, this user logins just success.
In described step 2, check value adopts hash cryptographic algorithm or block cipher to realize.
Described private key for user will not be preserved.
Described hash cryptographic algorithm is selected the algorithm of output 256 bits.
Described hash algorithm detailed process is:
Step 11: biological information is calculated to cryptographic Hash for the first time
, user ID splicing is existed
after, calculate final value as private key for user;
Step 2: on physical characteristics collecting equipment, according to private key for user, calculate the corresponding PKI based on elliptic curve cryptography, sign and issue this public key certificate to server;
Step 3: when user logins, after input user ID, password authentication pass through, gather this user biological feature by biometric device, calculate this private key for user on physical characteristics collecting equipment
, and calculate check value, if consistent with the check value retaining, authentication is passed through; Otherwise failure, returns to user's failure information.Step 4: by this private key signature message, server end carries out sign test according to this user's public key certificate, while only having sign test to pass through, this user logins just success, wherein this certificate and user's ID binding.
In sum, owing to having adopted technique scheme, the invention has the beneficial effects as follows:
1)only need to retain a small amount of biological information, simplified the architecture of PKI, private key can be preserved, and increases the fail safe reliability of system.Than traditional, merely based on identity identifying methods such as USB-KEY, IC-cards, there is higher fail safe, flexibility and reliability, there is the anti-lost and anti-function of stealing.
2)distinctive biological characteristic coding techniques, has stronger fail safe and loss prevention function, can be widely used in the stricter application scenario ，Ru bank of authentication requirement, military affairs, customs etc.
Accompanying drawing explanation
Examples of the present invention will be described by way of reference to the accompanying drawings, wherein:
Fig. 1 is that biometric identity merges authentication method;
Fig. 2 is the identity fusion verification process based on biological characteristic.
Embodiment
Disclosed all features in this specification, or the step in disclosed all methods or process, except mutually exclusive feature and/or step, all can combine by any way.
Disclosed arbitrary feature in this specification (comprising any accessory claim, summary and accompanying drawing), unless narration especially all can be replaced by other equivalences or the alternative features with similar object.That is,, unless narration especially, each feature is an example in a series of equivalences or similar characteristics.
Concrete equipment is not refered in particular at this place of biological characteristic extraction equipment, and at present, general fingerprint identification device, face recognition device, speech recognition apparatus and iris identification equipment etc. all can be within scopes.
Realization flow of the present invention is as follows:
A, biological characteristic extract: with biological characteristic extraction equipment, gather user biological feature;
B, biological information coding: according to user biological characteristic information, in conjunction with user ID, password etc., adopt peculiar algorithm, on this locality/physical characteristics collecting equipment, realize the computing of ellipse curve public key cipher algorithm private key, obtain this user's private key, on this locality/physical characteristics collecting equipment, only need to retain the check value of 32 bytes of this private key, this check value can adopt hash cryptographic algorithm, block cipher to realize;
C, client public key certificate issuance: on this locality/physical characteristics collecting equipment, according to private key for user, calculate the corresponding PKI based on elliptic curve cryptography, sign and issue this public key certificate to server;
D, user's login: when user logins, after the authentications such as input user ID, password are passed through, by biometric device, gather this user biological feature, on this locality/physical characteristics collecting equipment, calculate this private key for user, and calculate check value, if consistent with the check value retaining, authentication is passed through; Otherwise failure, returns to user's failure information.By this private key signature message, server end carries out sign test according to this user's public key certificate (this certificate and user's ID binds), and while only having sign test to pass through, this user logins just success.
The present invention is not limited to aforesaid embodiment.The present invention expands to any new feature or any new combination disclosing in this manual, and the arbitrary new method disclosing or step or any new combination of process.
Claims (5)
1. the identity fusion authentication method based on biological characteristic, is characterized in that comprising:
Step 1: biological characteristic extracts, gathers user biological characteristic information with biological characteristic extraction equipment;
Step 2: biological information coding: according to user biological characteristic information, in conjunction with being used for ID, password, on this locality/physical characteristics collecting equipment, realize the computing of ellipse curve public key cipher algorithm private key, obtain this user's private key, on physical characteristics collecting equipment, only need to retain the check value of 32 bytes of this private key;
Step 3: client public key certificate issuance: on physical characteristics collecting equipment, according to private key for user, calculate the corresponding PKI based on elliptic curve cryptography, sign and issue this public key certificate to server;
Step 4: user's login: when user logins, after input user ID, password authentication pass through, gather this user biological feature by biometric device, on physical characteristics collecting equipment, calculate this private key for user, and calculate check value, if consistent with the check value retaining, authentication is passed through; Otherwise failure, returns to user's failure information; By this private key signature message, server end carries out sign test according to this user's public key certificate (this certificate and user's ID binds), and while only having sign test to pass through, this user logins just success.
2. a kind of identity fusion authentication method based on biological characteristic according to claim 1, is characterized in that in described step 2, check value adopts hash cryptographic algorithm or block cipher to realize.
3. a kind of identity fusion authentication method based on biological characteristic according to claim 1, is characterized in that described private key for user will not preserve.
4. a kind of identity fusion authentication method based on biological characteristic according to claim 1, is characterized in that described hash cryptographic algorithm selects the algorithm of output 256 bits.
5. a kind of identity fusion authentication method based on biological characteristic according to claim 1, is characterized in that described hash algorithm detailed process is:
Step 11: biological information is calculated to cryptographic Hash for the first time
, user ID splicing is existed
after, calculate final value as private key for user;
Step 2: on physical characteristics collecting equipment, according to private key for user, calculate the corresponding PKI based on elliptic curve cryptography, sign and issue this public key certificate to server;
Step 3: when user logins, after input user ID, password authentication pass through, gather this user biological feature by biometric device, calculate this private key for user on physical characteristics collecting equipment
, and calculate check value, if consistent with the check value retaining, authentication is passed through; Otherwise failure, returns to user's failure information;
Step 4: by this private key signature message, server end carries out sign test according to this user's public key certificate, while only having sign test to pass through, this user logins just success, wherein this certificate and user's ID binding.
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Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103841108A (en) * | 2014-03-12 | 2014-06-04 | 北京天诚盛业科技有限公司 | Authentication method and system of biological characteristics of user |
| CN104065487A (en) * | 2014-07-08 | 2014-09-24 | 华南理工大学 | Random secret value IBC identity authentication method based on digital fingerprint |
| CN104657649A (en) * | 2014-05-23 | 2015-05-27 | 北京集联网络技术有限公司 | Token for starting up by biological feature identification |
| CN104767624A (en) * | 2015-04-23 | 2015-07-08 | 北京航空航天大学 | Remote protocol authentication method based on biological features |
| WO2016173211A1 (en) * | 2015-04-30 | 2016-11-03 | 华为技术有限公司 | Application identifier management method and device |
| CN106506168A (en) * | 2016-12-07 | 2017-03-15 | 北京信任度科技有限公司 | A kind of safe method based on biological characteristic long-distance identity-certifying |
| CN106576044A (en) * | 2015-04-23 | 2017-04-19 | 崔云虎 | Authentication in ubiquitous environment |
| CN108737103A (en) * | 2018-03-27 | 2018-11-02 | 中国科学院数据与通信保护研究教育中心 | A kind of SM2 algorithm endorsement methods applied to CS frameworks |
| CN109039643A (en) * | 2018-06-28 | 2018-12-18 | 中南民族大学 | A kind of sustainable method for authenticating user identity and system based on electromagnetic radiation |
| CN109547503A (en) * | 2018-05-17 | 2019-03-29 | 北京岸思信息科技有限公司 | Biological feather recognition method |
| CN111325814A (en) * | 2020-02-20 | 2020-06-23 | 成都卫士通信息产业股份有限公司 | Simulation handwriting fitting method, device, equipment and readable storage medium |
| CN111353144A (en) * | 2018-12-24 | 2020-06-30 | 航天信息股份有限公司 | Identity authentication method and device |
| CN113055157A (en) * | 2019-12-27 | 2021-06-29 | 京东数字科技控股有限公司 | Biological characteristic verification method and device, storage medium and electronic equipment |
| CN113691365A (en) * | 2020-05-16 | 2021-11-23 | 成都天瑞芯安科技有限公司 | Cloud private key generation and use method |
| CN114550316A (en) * | 2022-04-27 | 2022-05-27 | 广州商景网络科技有限公司 | One-stop credible biological characteristic data acquisition terminal equipment and acquisition and sharing method |
Families Citing this family (1)
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1972189A (en) * | 2005-11-24 | 2007-05-30 | 株式会社日立制作所 | Biometrics authentication system |
| CN101479987A (en) * | 2006-06-27 | 2009-07-08 | 微软公司 | Biometric credential verification framework |
| CN101674181A (en) * | 2008-09-08 | 2010-03-17 | 郑建德 | User certification system using biological characteristic token |
-
2013
- 2013-11-22 CN CN201310592436.XA patent/CN103607282B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1972189A (en) * | 2005-11-24 | 2007-05-30 | 株式会社日立制作所 | Biometrics authentication system |
| CN101479987A (en) * | 2006-06-27 | 2009-07-08 | 微软公司 | Biometric credential verification framework |
| CN101674181A (en) * | 2008-09-08 | 2010-03-17 | 郑建德 | User certification system using biological characteristic token |
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| CN103841108A (en) * | 2014-03-12 | 2014-06-04 | 北京天诚盛业科技有限公司 | Authentication method and system of biological characteristics of user |
| US10135818B2 (en) | 2014-03-12 | 2018-11-20 | Beijing Techshino Technology Co., Ltd. | User biological feature authentication method and system |
| CN104657649B (en) * | 2014-05-23 | 2018-02-23 | 北京集联网络技术有限公司 | A kind of token device of living things feature recognition start |
| CN104657649A (en) * | 2014-05-23 | 2015-05-27 | 北京集联网络技术有限公司 | Token for starting up by biological feature identification |
| CN104065487A (en) * | 2014-07-08 | 2014-09-24 | 华南理工大学 | Random secret value IBC identity authentication method based on digital fingerprint |
| CN104767624B (en) * | 2015-04-23 | 2018-02-09 | 北京航空航天大学 | Remote authentication protocol method based on biological characteristic |
| CN106576044A (en) * | 2015-04-23 | 2017-04-19 | 崔云虎 | Authentication in ubiquitous environment |
| CN106576044B (en) * | 2015-04-23 | 2020-05-15 | 崔云虎 | Authentication in ubiquitous environments |
| CN104767624A (en) * | 2015-04-23 | 2015-07-08 | 北京航空航天大学 | Remote protocol authentication method based on biological features |
| CN106209730A (en) * | 2015-04-30 | 2016-12-07 | 华为技术有限公司 | A kind of method and device managing application identities |
| WO2016173211A1 (en) * | 2015-04-30 | 2016-11-03 | 华为技术有限公司 | Application identifier management method and device |
| US10439809B2 (en) | 2015-04-30 | 2019-10-08 | Huawei Technologies Co., Ltd. | Method and apparatus for managing application identifier |
| CN106209730B (en) * | 2015-04-30 | 2020-03-10 | 华为技术有限公司 | Method and device for managing application identifier |
| CN106506168A (en) * | 2016-12-07 | 2017-03-15 | 北京信任度科技有限公司 | A kind of safe method based on biological characteristic long-distance identity-certifying |
| CN108737103A (en) * | 2018-03-27 | 2018-11-02 | 中国科学院数据与通信保护研究教育中心 | A kind of SM2 algorithm endorsement methods applied to CS frameworks |
| CN108737103B (en) * | 2018-03-27 | 2021-06-29 | 中国科学院数据与通信保护研究教育中心 | SM2 algorithm signature method applied to CS framework |
| CN109547503A (en) * | 2018-05-17 | 2019-03-29 | 北京岸思信息科技有限公司 | Biological feather recognition method |
| CN109039643A (en) * | 2018-06-28 | 2018-12-18 | 中南民族大学 | A kind of sustainable method for authenticating user identity and system based on electromagnetic radiation |
| CN109039643B (en) * | 2018-06-28 | 2019-10-11 | 中南民族大学 | A kind of sustainable method for authenticating user identity and system based on electromagnetic radiation |
| CN111353144A (en) * | 2018-12-24 | 2020-06-30 | 航天信息股份有限公司 | Identity authentication method and device |
| CN113055157A (en) * | 2019-12-27 | 2021-06-29 | 京东数字科技控股有限公司 | Biological characteristic verification method and device, storage medium and electronic equipment |
| CN113055157B (en) * | 2019-12-27 | 2023-03-10 | 京东科技控股股份有限公司 | Biological characteristic verification method and device, storage medium and electronic equipment |
| CN111325814A (en) * | 2020-02-20 | 2020-06-23 | 成都卫士通信息产业股份有限公司 | Simulation handwriting fitting method, device, equipment and readable storage medium |
| CN113691365A (en) * | 2020-05-16 | 2021-11-23 | 成都天瑞芯安科技有限公司 | Cloud private key generation and use method |
| CN113691365B (en) * | 2020-05-16 | 2024-04-26 | 成都天瑞芯安科技有限公司 | Cloud private key generation and use method |
| CN114550316A (en) * | 2022-04-27 | 2022-05-27 | 广州商景网络科技有限公司 | One-stop credible biological characteristic data acquisition terminal equipment and acquisition and sharing method |
| CN114550316B (en) * | 2022-04-27 | 2022-08-05 | 广州商景网络科技有限公司 | One-stop credible biological characteristic data acquisition terminal equipment and acquisition and sharing method |
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Address after: No. 333, Yunhua Road, Chengdu hi tech Zone, China (Sichuan) pilot Free Trade Zone, Chengdu, Sichuan 610041 Patentee after: China Electronics Technology Network Security Technology Co.,Ltd. Address before: No. 333, Yunhua Road, high tech Zone, Chengdu, Sichuan 610041 Patentee before: CHENGDU WESTONE INFORMATION INDUSTRY Inc. |