CN109918881A - The online face authentication method and system of secret protection, intelligent movable equipment - Google Patents
The online face authentication method and system of secret protection, intelligent movable equipment Download PDFInfo
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Abstract
The invention belongs to field of information security technology; disclose the online face authentication method and system, intelligent movable equipment of a kind of secret protection; matrix perturbance encryption is carried out to face template data; so that in verification process; quick similitude judgement can be carried out to human face data under ciphertext state, realize the online face authentication of efficient secret protection.Acquisition module encrypts authentication data for collecting user's face characteristic data and identity information；Trusted area, for generating key at random, key and encryption data are sent respectively to acquisition module and authentication module by encrypting registration data.In practical applications, trusted area can be deployed in third party's trust authority as needed or be deployed in user local using TrustZone technology；Authentication module, for storing encryption data, calculating authentication result and returning.The present invention realizes the secret protection of user data in online face authentication system in the case where guaranteeing higher face authentication accuracy and performance.
Description
Technical field
The invention belongs to the online face authentication method of field of information security technology more particularly to a kind of secret protection and it is
System, intelligent movable equipment.
Background technique
Currently, the prior art commonly used in the trade is such that the universal and living things feature recognition with intelligent movable equipment
The development of technology carries out authentication using biological characteristic and starts gradually to substitute traditional authentication mode based on password, public security,
The fields such as the administration of justice, finance have been widely used.Wherein, face authentication is because of its convenience, uniqueness, non-infringement property etc.
Advantage, it has also become the main way and research hotspot of biological characteristic authentication.However, based on the authentication mode of face characteristic for people
Live also brought while offering convenience human face data leakage security risk.Human face data belongs to high sensitive information, it
Leakage be likely to the privacy to user, life, property cause extreme influence.Therefore, protection user's human face data has emphatically
The meaning wanted.
In some existing face recognition schemes, the prior art one is by from different perspectives retouching human face image information
It states, improves the accuracy of human face image information description, but the system, in data storage and calculating process, characteristic is always
It is handled with clear-text way, although simple and quick in this way, the problem of also data-privacy being brought to protect.Once pre- in system
If face characteristic is stolen, attacker can even disguise oneself as legitimate user success fraud system, this influence the normal function of system
Can while also high risks user privacy and interests.
In conclusion problem of the existing technology is: not accounting for number of users in existing most of face authentication systems
The problem of according to secret protection, may result in the leakage of sensitive information；Meanwhile after adding Privacy Preservation Mechanism, authentication method
Accuracy cannot be considered in terms of with system performance.
Solve the difficulty of above-mentioned technical problem: traditional face authentication system does not have encrypting module, once system is attacked,
Privacy of user data may be revealed, at the same attacker can also disguise oneself as user carry out spoofing attack, make system risk significantly
It improves.And some complicated encryption technology such as homomorphic cryptographies can bring biggish communication and computing cost, so that system can not expire
Sufficient recognition of face fast and accurately performance requirement.Therefore, how to guarantee the knowledge of system under the premise of not revealing face privacy
Other performance is the key that solve the above problems.Difficulty is to design a kind of encryption method of face template, can be to face template
Ciphertext data do the judgement of quick similitude, to realize the online face authentication of efficient secret protection.
Solve the meaning of above-mentioned technical problem: the present invention is in the case where guaranteeing higher face authentication accuracy and performance
The secret protection for realizing user data in online face authentication system can be used in real life providing privacy for user efficient
Face accession authorization system.
Summary of the invention
In view of the problems of the existing technology, the present invention provides a kind of online face authentication method of secret protection and it is
System, intelligent movable equipment.
The invention is realized in this way a kind of online face authentication method of secret protection, the secret protection it is online
Face authentication method the following steps are included:
The first step, user's face registration step, acquisition module collect registration user's skin detection and user identity letter
Breath is sent to trusted area；The key management submodule of trusted area generates key at random, disturbs encryption submodule by registration
Matrix perturbance encryption is carried out to face template, and encrypted data and subscriber identity information are sent to authentication module and are carried out
Storage；
Second step, user's face authentication step, acquisition module collect certification user's skin detection and user identity
Information receives the key that trusted area is sent, and disturbs encryption submodule by certification and carries out matrix perturbance encryption to face template,
And encrypted data and subscriber identity information are sent to authentication module；Authentication module calculate and return authentication knot
Fruit.
Further, user's face registration step of the first step specifically includes:
(1) acquisition module collects registration user's skin detection { bi,bj,bk..., and User Identity Ii, and will
{bi,bj,bk...,IiIt is sent to trusted area；Wherein, template number is the enrollment hits of systemic presupposition, biIt is n dimension
Vector, bi=[bi1,bi2,...,bin]；
(2) trusted area generates key, including two (n+2) × (n+2) invertible matrix { M at random1,M2And one (n+2)
Dimensional vector H, each of key element are all random numbers；
(3) registration disturbance encryption submodule is as follows to skin detection ciphering process:
(3.1) face template b is extendediFor (n+2) dimensional vector Bi, wherein (n+1) dimension element isIt is 1 that (n+2), which ties up element,；
(3.2) skin detection B is combinediGenerate random matrix DiTo hide Template Information:
Wherein Ai=[Ai1,Ai2,...,Ai(n+2)] (i ∈ [1, n+2]) be a random vector Ai×HT=1；
(3.3) to random matrix DiMatrix perturbance encryption is carried out,
(4) trusted area is by packaged data { Ci,Cj,Ck,...,IiBe sent to authentication module and stored.
Further, user's face authentication step of the second step specifically includes:
(1) acquisition module collects certification user's skin detection qcWith User Identity Ij；
(2) key { M is received from trusted area1,M2,H}；
(3) certification disturbance encryption submodule skin detection ciphering process is as follows:
(3.1) face template q is extendedcFor (n+2) dimensional vector Qc, wherein Qc=[qc1,qc2,...,qcn,1,rc], rcIt is one
A random value；
(3.2) to certification template QcCarry out matrix perturbance encryption, CF=Qc×M1,WhereinIt is M2
Inverse matrix；
(4) acquisition module is by packaged data { CF,CH,IjBe sent to authentication module and calculated；
(5) authentication module calculating process is as follows:
(5.1) data sub-module stored retrieves User Identity IjCorresponding enrollment data are sent to authentication calculations
Submodule；
(5.2) similarity score computing unit computing system similarity score Pi,Pj,Pk..., wherein:
(5.3) by { P after calculatingi,Pj,Pk... } and it is sent to face confidence computation unit；
(5.4) similarity score P is ranked up by face confidence computation unit, determines maximum value PiWith minimum value PjAnd
Calculate similarity score difference Pi-Pj:
(5.5) inter- object distance Dist is calculated as face confidence level, according to the infima species spacing dist of systemic presuppositionic, phase
Like degree scoring difference Pi-PjIt can transform to:
Therefore, transformed face confidence level Dist are as follows:
(5.6) judge the size relation of face confidence level Dist Yu system thresholds θ, Dist > θ certification passes through, Dist < θ
Authentification failure, and return authentication result.
Another object of the present invention is to provide a kind of privacies of online face authentication method for realizing the secret protection
The online face authentication system of protection, the online face authentication system of the secret protection include:
Acquisition module for collecting user's face characteristic data and subscriber identity information, and will be sent out after certification template encryption
Give authentication module；
Trusted area, for generating key at random, key is sent to acquisition module, will added by encrypting registration face template
Close template and User Identity are sent to authentication module storage；
Authentication module calculates authentication data, and return and recognize for storing encrypted face template and User Identity
Demonstrate,prove result.
The acquisition module further comprises:
Information collection submodule, including human face data acquisition unit, identity information acquisition unit；For user's registration and recognize
User's human face data and identity information are acquired when card, and generate skin detection；
Certification disturbance encryption submodule, carries out matrix perturbance encryption to face template when being used for user authentication.
The trusted area further comprises:
Key management submodule, required key when for generating encryption, and key is sent to acquisition mould in certification
Block；
Registration disturbance encryption submodule, carries out matrix perturbance encryption for the enrollment to user, and be sent to certification
Module storage.
The authentication module further comprises:
Data sub-module stored, for storing encrypted user's face template and User Identity；
Authentication calculations submodule, including similarity score computing unit, face confidence computation unit；For calculating face
Similarity score and face confidence level in verification process, return authentication result.
Another object of the present invention is to provide a kind of movements of online face authentication method using the secret protection
Smart machine.
In conclusion advantages of the present invention and good effect are as follows: the present invention devises a kind of pair of face template and carries out matrix
The method for disturbing encryption, so that can carry out similitude judgement in verification process to human face data under ciphertext state, realize
The online face authentication of secret protection.
Present invention can apply to a variety of face authentication scenes, in practical applications, the confidence region in present inventive verification system
Domain can be deployed in third party's trust authority (TA) as needed, to realize tripartite's Verification System, can also apply TrustZone
Technology is deployed in user local, realizes C-S Verification System.
The present invention realizes higher face authentication accuracy rate, in simulated experiment, directlys adopt Eigenface algorithm
The accuracy rate that recognition of face is carried out to AT&T face database is about 96.75%.By the way that infima species spacing and system thresholds are rationally arranged,
The certification accuracy rate for the face authentication system that the present invention designs is about 95.675%.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of the online face authentication system of secret protection provided in an embodiment of the present invention.
Fig. 2 is the online face authentication method flow chart of secret protection provided in an embodiment of the present invention.
Fig. 3 is user's face registration method flow diagram provided in an embodiment of the present invention.
Fig. 4 is user's face authentication method flow chart provided in an embodiment of the present invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to embodiments, to the present invention
It is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to
Limit the present invention.
The present invention realizes online face authentication system in the case where guaranteeing higher face authentication accuracy and performance
The secret protection of middle user data.
Application principle of the invention is explained in detail with reference to the accompanying drawing.
As shown in Figure 1, the online face authentication system of secret protection provided in an embodiment of the present invention includes:
Acquisition module for collecting user's face characteristic data and subscriber identity information, and will be sent out after certification template encryption
Give authentication module.
Trusted area, for generating key at random, key is sent to acquisition module, will added by encrypting registration face template
Close template and User Identity are sent to authentication module storage.In practical applications, trusted area can be deployed in as needed
Third party's trust authority (TA) is deployed in user local using TrustZone technology.
Authentication module calculates authentication data, and return and recognize for storing encrypted face template and User Identity
Demonstrate,prove result.
Acquisition module further comprises:
Information collection submodule, including human face data acquisition unit, identity information acquisition unit；For user's registration and recognize
User's human face data and identity information are acquired when card, and generate skin detection.
Certification disturbance encryption submodule, carries out matrix perturbance encryption to face template when being used for user authentication.
Trusted area further comprises:
Key management submodule, required key when for generating encryption, and key is sent to acquisition mould in certification
Block.
Registration disturbance encryption submodule, carries out matrix perturbance encryption for the enrollment to user, and be sent to certification
Module storage.
Authentication module further comprises:
Data sub-module stored, for storing encrypted user's face template and User Identity.
Authentication calculations submodule, including similarity score computing unit, face confidence computation unit；For calculating face
Similarity score and face confidence level in verification process, return authentication result.
As shown in Fig. 2, the online face authentication method of secret protection provided in an embodiment of the present invention the following steps are included:
S201: user's face registration step, acquisition module collect registration user's skin detection and subscriber identity information
It is sent to trusted area；The key management submodule of trusted area generates key at random, disturbs encryption submodule pair by registration
Face template carries out matrix perturbance encryption, and encrypted data and subscriber identity information are sent to authentication module and are deposited
Storage；
S202: user's face authentication step, acquisition module collect certification user's skin detection and user identity letter
Breath receives the key that trusted area is sent, and disturbs encryption submodule by certification and carries out matrix perturbance encryption to face template, and
Encrypted data and subscriber identity information are sent to authentication module；Authentication module calculate and return authentication result.
Application principle of the invention is further described with reference to the accompanying drawing.
As shown in Figure 1, the online face authentication system of secret protection provided in an embodiment of the present invention include acquisition module, can
Believe three region, authentication module component parts.Wherein:
Acquisition module for collecting user's face characteristic data and subscriber identity information, and will be sent out after certification template encryption
Give authentication module.
Trusted area, for generating key at random, key is sent to acquisition module, will added by encrypting registration face template
Close template and User Identity are sent to authentication module storage.In practical applications, trusted area can be deployed in as needed
Third party's trust authority (TA) is deployed in user local using TrustZone technology.
Authentication module calculates authentication data, and return and recognize for storing encrypted face template and User Identity
Demonstrate,prove result.
Acquisition module, comprising: information collection submodule, certification disturbance encryption submodule.
The information collection submodule, to user's human face data and identity information I when for user's registration and certificationiIt is adopted
Collection, and generate skin detection bi。
Certification disturbance encryption submodule, to face template b when for user authenticationiCarry out matrix perturbance encryption.
Trusted area, comprising: key management submodule, registration disturbance encryption submodule.
The key management submodule, required key { M when for generating encryption1,M2, H }, and send out key in certification
Give acquisition module.
Registration disturbance encryption submodule, carries out matrix perturbance encryption for the enrollment to user, and will be packaged number
According to { Ci,Cj,Ck,...,IiIt is sent to authentication module storage.
Authentication module, comprising: data sub-module stored, authentication calculations submodule.
Data sub-module stored, for storing encrypted user's face registration template CiWith User Identity Ii。
Authentication calculations submodule, for calculating similarity score PiWith face confidence level Dist, while passing through systemic presupposition
Threshold θ judged, return authentication result.
As shown in figs 2-4, the online face authentication method of secret protection of the invention, includes the following steps
Step 1, user's face registration step.
(1) acquisition module collects registration user's skin detection { bi,bj,bk..., and User Identity Ii, and will
{bi,bj,bk...,IiIt is sent to trusted area.Wherein, template number is the enrollment hits of systemic presupposition, biIt is n dimension
Vector, bi=[bi1,bi2,...,bin]；
(2) trusted area generates key, including two (n+2) × (n+2) invertible matrix { M at random1,M2And one (n+2)
Dimensional vector H, each of key element are all random numbers；
(3) registration disturbance encryption submodule is as follows to skin detection ciphering process:
(3.1) face template b is extendediFor (n+2) dimensional vector Bi, wherein (n+1) dimension element isIt is 1 that (n+2), which ties up element,；
(3.2) skin detection B is combinediGenerate random matrix DiTo hide Template Information:
Wherein Ai=[Ai1,Ai2,...,Ai(n+2)] (i ∈ [1, n+2]) be a random vector Ai×HT=1；
(3.3) to random matrix DiCarry out matrix perturbance encryption, Ci=M1 -1×Di×M2；
(4) trusted area is by packaged data { Ci,Cj,Ck,...,IiBe sent to authentication module and stored.
Step 2, user's face authentication step.
(1) acquisition module collects certification user's skin detection qcWith User Identity Ij；
(2) key { M is received from trusted area1,M2,H}；
(3) certification disturbance encryption submodule skin detection ciphering process is as follows:
(3.1) face template q is extendedcFor (n+2) dimensional vector Qc, wherein Qc=[qc1,qc2,...,qcn,1,rc], rcIt is one
A random value；
(3.2) to certification template QcCarry out matrix perturbance encryption, CF=Qc×M1,WhereinIt is M2
Inverse matrix；
(4) acquisition module is by packaged data { CF,CH,IjBe sent to authentication module and calculated；
(5) authentication module calculating process is as follows:
(5.1) data sub-module stored retrieves User Identity IjCorresponding enrollment data are sent to authentication calculations
Submodule；
(5.2) similarity score computing unit computing system similarity score Pi,Pj,Pk..., wherein:
(5.3) by { P after calculatingi,Pj,Pk... } and it is sent to face confidence computation unit；
(5.4) similarity score P is ranked up by face confidence computation unit, determines maximum value PiWith minimum value PjAnd
Calculate similarity score difference Pi-Pj:
(5.5) inter- object distance Dist is calculated as face confidence level, according to the infima species spacing dist of systemic presuppositionic, phase
Like degree scoring difference Pi-PjIt can transform to:
Therefore, transformed face confidence level Dist are as follows:
(5.6) judge the size relation of face confidence level Dist Yu system thresholds θ, Dist > θ certification passes through, Dist < θ
Authentification failure, and return authentication result.
Application effect of the invention is explained in detail below with reference to simulated experiment.
The present invention is verified by online face authentication method of the simulated experiment to proposed secret protection, to prove it
Feasibility and advantage.
In terms of authenticating accuracy rate, simulated experiment uses the data set tested as scheme of AT&T face database.Wherein, directly
Using Eigenface algorithm to 10 register user 100 human face datas and 30 non-registered users 300 faces into
Row test, test result are accuracy of system identification 2.67%, refuse sincere 5%, accuracy rate 96.75%.
In the test to the present invention program, the truthful data of user and the vacation of 30 non-registered users are registered with 10
It emits data and authentication is carried out to 10 users respectively, carry out 4000 tests altogether.By the way that infima species spacing is rationally arranged and is
The test result of system threshold value, the face authentication system that the present invention designs is accuracy of system identification 5.57%, refuses sincere 6%, accuracy rate
95.675%.
In terms of system effectiveness, the face authentication method of secret protection of the present invention is divided into two steps of registration and verifying
Suddenly, the time for carrying out 1000 user's registration steps is 2.265s, i.e. single sign time about 2.3ms；Carry out 1000 users
The time of authenticating step is 2.905s, i.e. the single sign time is about 2.9ms.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.
Claims (8)
1. a kind of online face authentication method of secret protection, which is characterized in that the online face authentication side of the secret protection
Method the following steps are included:
The first step, user's face registration step, acquisition module collect registration user's skin detection and subscriber identity information hair
Give trusted area；The key management submodule of trusted area generates key at random, disturbs encryption submodule to people by registration
Face template carries out matrix perturbance encryption, and encrypted data and subscriber identity information are sent to authentication module and are deposited
Storage；
Second step, user's face authentication step, acquisition module collect certification user's skin detection and subscriber identity information,
The key that trusted area is sent is received, encryption submodule is disturbed by certification, matrix perturbance encryption is carried out to face template, and will
Encrypted data and subscriber identity information are sent to authentication module；Authentication module calculate and return authentication result.
2. the online face authentication method of secret protection as described in claim 1, which is characterized in that the user of the first step
Face registration step specifically includes:
(1) acquisition module collects registration user's skin detection { bi,bj,bk..., and User Identity Ii, and by { bi,
bj,bk…,IiIt is sent to trusted area；Wherein, template number is the enrollment hits of systemic presupposition, biIt is n-dimensional vector,
bi=[bi1,bi2,…,bin]；
(2) trusted area generates key, including two (n+2) × (n+2) invertible matrix { M at random1,M2And one (n+2) tie up to
H is measured, each of key element is all random number；
(3) registration disturbance encryption submodule is as follows to skin detection ciphering process:
(3.1) face template b is extendediFor (n+2) dimensional vector Bi, wherein (n+1) dimension element is
It is 1 that (n+2), which ties up element,；
(3.2) skin detection B is combinediGenerate random matrix DiTo hide Template Information:
Wherein Ai=[Ai1,Ai2,…,Ai(n+2)] (i ∈ [1, n+2]) be a random vector Ai×HT=1；
(3.3) to random matrix DiMatrix perturbance encryption is carried out,
(4) trusted area is by packaged data { Ci,Cj,Ck,…,IiBe sent to authentication module and stored.
3. the online face authentication method of secret protection as described in claim 1, which is characterized in that the user of the second step
Face authentication step specifically includes:
(1) acquisition module collects certification user's skin detection qcWith User Identity Ij；
(2) key { M is received from trusted area1,M2,H}；
(3) certification disturbance encryption submodule skin detection ciphering process is as follows:
(3.1) face template q is extendedcFor (n+2) dimensional vector Qc, wherein Qc=[qc1,qc2,…,qcn,1,rc], rcIt is one random
Value；
(3.2) to certification template QcCarry out matrix perturbance encryption, CF=Qc×M1,WhereinIt is M2It is inverse
Matrix；
(4) acquisition module is by packaged data { CF,CH,IjBe sent to authentication module and calculated；
(5) authentication module calculating process is as follows:
(5.1) data sub-module stored retrieves User Identity IjCorresponding enrollment data are sent to authentication calculations submodule
Block；
(5.2) similarity score computing unit computing system similarity score Pi,Pj,Pk..., in which:
(5.3) by { P after calculatingi,Pj,Pk... } and it is sent to face confidence computation unit；
(5.4) similarity score P is ranked up by face confidence computation unit, determines maximum value PiWith minimum value PjAnd it calculates
Similarity score difference Pi-Pj:
(5.5) inter- object distance Dist is calculated as face confidence level, according to the infima species spacing dist of systemic presuppositionic, similarity
Score difference Pi-PjIt can transform to:
Therefore, transformed face confidence level Dist are as follows:
(5.6) judge the size relation of face confidence level Dist Yu system thresholds θ, Dist > θ certification passes through, Dist < θ certification
Failure, and return authentication result.
4. a kind of online face authentication of the secret protection for the online face authentication method for realizing secret protection described in claim 1
System, which is characterized in that the online face authentication system of the secret protection includes:
Acquisition module for collecting user's face characteristic data and subscriber identity information, and will be sent to after certification template encryption
Authentication module；
Trusted area, for generating key at random, key is sent to acquisition module, will encrypt mould by encrypting registration face template
Plate and User Identity are sent to authentication module storage；
Authentication module calculates authentication data, and return authentication knot for storing encrypted face template and User Identity
Fruit.
5. the online face authentication system of secret protection as claimed in claim 4, which is characterized in that the acquisition module is into one
Step includes:
Information collection submodule, including human face data acquisition unit, identity information acquisition unit；When for user's registration and certification
User's human face data and identity information are acquired, and generate skin detection；
Certification disturbance encryption submodule, carries out matrix perturbance encryption to face template when being used for user authentication.
6. the online face authentication system of secret protection as claimed in claim 4, which is characterized in that the trusted area is into one
Step includes:
Key management submodule, required key when for generating encryption, and key is sent to acquisition module in certification；
Registration disturbance encryption submodule, carries out matrix perturbance encryption for the enrollment to user, and be sent to authentication module
Storage.
7. the online face authentication system of secret protection as claimed in claim 4, which is characterized in that the authentication module is into one
Step includes:
Data sub-module stored, for storing encrypted user's face template and User Identity；
Authentication calculations submodule, including similarity score computing unit, face confidence computation unit；For calculating face authentication
Similarity score and face confidence level in the process, return authentication result.
8. a kind of intelligent movable of the online face authentication method using secret protection described in claims 1 to 3 any one is set
It is standby.
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| CN111414859A (en) * | 2020-03-20 | 2020-07-14 | 山东大学 | TrustZone-based retina identification method |
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