CN103279697A - Fingerprint detail information hiding and restoring method based on orthogonal matrix and modular arithmetic - Google Patents
Fingerprint detail information hiding and restoring method based on orthogonal matrix and modular arithmetic Download PDFInfo
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Abstract
The invention discloses a fingerprint detail information hiding and restoring method based on orthogonal matrix and modular arithmetic. According to the method, fingerprint detail characteristic information is divided into fingerprint detail point position coordinate information and fingerprint detail point direction information, and through the utilization of a random transformed orthogonal matrix of a sub-secret-key of a password secret key, matrix transformation arithmetic of the password secret key and position information is achieved to protect the fingerprint detail point position coordinate information. Through the utilization of the other sub-secret-key of the password secret key, modular arithmetic of the password secret key and direction information is achieved to protect the fingerprint detail point direction information. The fingerprint detail information hiding and restoring method based on the orthogonal matrix and modular arithmetic overcomes the defects that a fingerprint template easily receives attacks inside a system or attacks outside the system, and the fact that fingerprint characteristics become invalid is caused. By the further utilization of the combination of the dual authentication of the password secret key and the fingerprint characteristics, safety of a protected system and privacy of fingerprint characteristic data are improved.
Description
Technical field
The present invention relates to computer technology, network security technology, digital image processing techniques and technical field of data storage, particularly a kind of details in fingerprint Information hiding and restoration methods based on orthogonal matrix and modular arithmetic.
Background technology
Off-line or on-line system need accurately be known the identity of system user for guaranteeing data security.Current more safe and reliable identity authorization system is mainly based on token (such as ID (identity number) card) or knowledge (such as password or PIN code).The critical defect of token is to lose easily, forge and carry inconvenience; The attack of social engineering is then forgotten, obscures and very easily be subjected to knowledge (such as password) easily.These problems cause can't distinguishing real validated user owner and counterfeiter based on the identity authorization system of token or knowledge.In case the counterfeiter is known password or ID (identity number) card, just have the equal access rights of validated user.Thus, the identity recognizing technology based on biological characteristic has obtained studying widely and using.
Biological characteristic has the memory carried, need not, advantage such as easy to use, the more important thing is to have the resisting denying characteristic.This makes biological characteristic become a kind of strong individual authentication form, has overcome the unfavorable factor based on token and knowledge authentication to a certain extent.But biometric technology seems very fragile to some attacks commonly used, such as, Replay Attack, man-in-the-middle attack, wooden horse attack, spoofing attack (Spoof attacks) and template attack etc.
On the other hand, the protection problem of the privacy of biological characteristic is also very important.Steal probably, sell or the privacy information (such as personal income and medical information) of sharing users such as, lawless person.For improving security of system; security system always wishes as far as possible at length to obtain user's personal information; yet the user does not wish that but the personal information of oneself is exposed to the assailant because of the safety defect of system, therefore just exists a contradiction on security and privacy protecting.In general, Ge Ren privacy mainly is subjected to the threat of following two aspects:
(1) biological characteristic is user's physical trait, belongs to individual privacy, if individual's biological characteristic is disclosed, it is unfavorable then to bring to personal lifestyle.Such as, others can judge your whereabouts according to your fingerprint, even can utilize your biological characteristic (such as fingerprint) to go crime.
(2) in living creature characteristic recognition system, often need registration personal information associated with it, such as age of individual, wedding not, identification card number, SSN (social security number) etc., there is the risk of being utilized by the lawless person in these;
Therefore, for solving security and the privacy problem of biological characteristic, focus on protecting the template safety of biological characteristic.The most typical solution is that key and template are organically blent, make neither under attack easily, thereby reach the purpose of protecting the living creature characteristic recognition system security.
The biometric templates resist technology totally can be divided into following several:
(1) biological characteristic hash method (biohashing), the double factor identity identifying method of use fingerprint and random number combination.Yet the fixed length feature of the height that algorithm the requires property distinguished realizes very difficult in fingerprint.
(2) template deformation method carries out the geometric transformation of doubling such as the determined straight line of singular point that the details in fingerprint point template is determined along fingerprint image of propositions such as Ang, thereby realizes the deformation template.For another example Ratha etc. propose with the fingerprint minutiae set from luv space, transform to other space through one-way function, thereby carry out the minutiae point comparison at transformation space.The recognition performance of above method all descends to some extent.
(3) based on the method for key bindings or generation; The method also makes biological characteristic encrypt (Biometric Encryption).Its fundamental purpose is to utilize biological characteristic to encrypt and the protection secret data, improves the security of system and the privacy of user profile.Yet its main difficulty is the changeability of biometric image, and this instability makes that the enciphering/deciphering process is (Fuzzy) that blurs just.Can change along with the dust on pressure, temperature, humidity, sweat mark, grease, wound and surface etc. such as, fingerprint image.It is very difficult that this changeability makes that the biological characteristic encryption system deals with, and must allow that same individual's biological characteristic changes the secret value of decoding, but can not allow another one people's any secret information of biological characteristic decoding leakage.
The biometric templates resist technology has very big potentiality and advantage, can satisfy commercial undertaking, enterprise or NGO etc. to the advanced requirement of individual identity checking.But, want to accomplish that checking is more accurate, the biological characteristic system is more credible, also has a lot of work to do.Such as, need further improve the existing scheme that biometric templates is protected.Therefore, how to improve the security of biometric templates, scientific research both at home and abroad and company researcher need the problem of emphasis thinking.
Summary of the invention
The objective of the invention is to overcome the prior art fingerprint template and very easily be subjected to internal system or outside attack, thereby the deficiency that causes fingerprint characteristic to lose efficacy provides a kind of and utilizes the combination of password key and fingerprint characteristic double authentication to solve the privacy of fingerprint template and details in fingerprint Information hiding and the restoration methods based on orthogonal matrix and modular arithmetic of safety issue.
The objective of the invention is to be achieved through the following technical solutions: based on details in fingerprint Information hiding and the restoration methods of orthogonal matrix and modular arithmetic, detail characteristics of fingerprints information is divided into the directional information of fingerprint minutiae location coordinate information and fingerprint minutiae; The fingerprint minutiae location coordinate information is protected by the conversion of orthogonal matrix at random that sub-key of password key generates, and the directional information of fingerprint minutiae adds computing protection by the mould of another sub-key of password key.
The protection of fingerprint minutiae location coordinate information comprises that position information registration is hidden and the positional information checking recovers two steps, and described position information registration is hidden and comprised following substep:
S101: the user imports the secret password key
k, with being cut into two sub-keys after the one-way function MD5 computing
S102: sub-key
Generate independently random vector of linearity
, use the Gram-Schmidt algorithm with random vector
Conversion generates
Orthogonal matrix
, wherein,
It is the predefined fingerprint minutiae maximum number of system; With the two-dimensional position coordinate
Be converted to one-dimensional linear coding, and with the 1st privacy key
The maximization conversion
Fill and be encoded to vector
Thereby with orthogonal matrix
Do conversion, obtain the secret location coded message
:
S103: storage secret location coded message in database
Described positional information checking recovers to comprise following substep:
S104: S102 is identical with step, and the user imports privacy key
k, with being cut into two sub-keys after the one-way function MD5 computing
S105: S103 is identical with step, sub-key
Generate independently random vector of linearity
, use the Gram-Schmidt algorithm with random vector
Conversion generates
Orthogonal matrix
, and calculate its inverse matrix
S106: from database, extract the secret location coded message
, and with following formula calculation template:
S107: by positional information and the checking fingerprint matching of the above fingerprint template that extracts, thereby realize that checking recovers.
The protection of described fingerprint minutiae directional information comprises that the directional information registration is hidden and the directional information checking recovers two steps, and described directional information registration is hidden and comprised following substep:
S201: the user imports the secret password key
k, with being cut into two sub-keys after the one-way function MD5 computing
S202: sub-key
Generate independently random vector of linearity
, minutiae point directional information rule is turned between 0～359 degree, quantity is maximum fingerprint minutiae parameter, and uses sub-key
Fill, obtain the minutiae point direction vector and be
, all
In the individual minutiae point direction, comprise
Individual true directions and
Individual filling direction is with sub-key
Random vector after the conversion
Corresponding element do the computing that adds of mould 360, thereby obtain secret directional information
:
S203: the secret directional information of storage in database
Described directional information checking recovers to comprise following substep:
S204: S201 is identical with step, and the user imports privacy key
k, with being cut into two sub-keys after the one-way function MD5 computing
S205: sub-key
Generate independently random vector of linearity
S206: from database, extract secret directional information
, and with following formula calculation template:
S207: by directional information and the checking fingerprint matching of the above fingerprint template that extracts, thereby realize that checking recovers.
Import the secret password key the user
Also comprise a fingerprint collecting analytical procedure: the fingerprint image that collects according to fingerprint capturer with the fingerprint characteristic extraction algorithm minutiae point information that takes the fingerprint, is expressed as before
, wherein,
,
Be horizontal ordinate,
Be ordinate,
Be the direction value, thereby obtain the positional information of fingerprint minutiae
And directional information
In fingerprint minutiae location coordinate information and the directional information protection process; after registration is hidden or checking recovers to finish; system can remove password, fingerprint image and the details in fingerprint dot information in the internal memory; that preserves only has minutiae point location coordinate information and a directional information behind the enciphering transformation, has improved the privacy of user fingerprints information and the security of protected system.
The invention has the beneficial effects as follows:
1, uses the stochastic transformation orthogonal matrix of the sub-key of password key, realize the transform operation of the positional information of password key and fingerprint minutiae; And another sub-key of utilization password key realizes that the mould of password key and fingerprint minutiae directional information adds computing, provides double authentication to shielded system, has improved the security of protected system;
2, if do not know the password key, it is very difficult that the template after the conversion brings acquisition primary template data by inversion, has improved the privacy of fingerprint characteristic data;
3, if the template after the conversion is lost or is subjected to security threat, reconfigurable new password key obtains new conversion template, and need not to abandon the primeval life feature;
4, the authentication performance of the fingerprint template after the conversion does not have any decline, therefore, can be widely used in the protection of fingerprint characteristic.
Description of drawings
Fig. 1 is basic thought process flow diagram of the present invention;
Fig. 2 is that process flow diagram is hidden in details in fingerprint information registration of the present invention;
Fig. 3 is that details in fingerprint Information Authentication of the present invention recovers process flow diagram;
Fig. 4 is processed offline synoptic diagram of the present invention.
Embodiment
Further specify technical scheme of the present invention below in conjunction with accompanying drawing, but the content that the present invention protects is not limited to the following stated.
As shown in Figure 1; details in fingerprint Information hiding and restoration methods based on orthogonal matrix and modular arithmetic; the directional information that detail characteristics of fingerprints information is divided into fingerprint minutiae location coordinate information and fingerprint minutiae; the fingerprint minutiae location coordinate information is protected by the conversion of orthogonal matrix at random of a sub-key generation of password key, and the directional information of fingerprint minutiae adds computing protection by the mould of another sub-key of password key.
As shown in Figures 2 and 3, the protection of fingerprint minutiae location coordinate information comprises that position information registration is hidden and the positional information checking recovers two steps, and described registration is hidden and comprised following substep:
S101: the user imports the secret password key
k, with being cut into two sub-keys after the one-way function MD5 computing
S102: sub-key
Generate independently random vector of linearity
, use the Gram-Schmidt algorithm with random vector
Conversion generates
Orthogonal matrix
, wherein,
It is the predefined fingerprint minutiae maximum number of system; With the two-dimensional position coordinate
Be converted to one-dimensional linear coding, and with the 1st privacy key
The maximization conversion
Fill and be encoded to vector
Thereby with orthogonal matrix
Do conversion, obtain the secret location coded message
:
S103: storage secret location coded message in database
Described positional information checking recovers to comprise following substep:
S104: S102 is identical with step, and the user imports the secret password key
k, with being cut into two sub-keys after the one-way function MD5 computing
S105: S103 is identical with step, sub-key
Generate independently random vector of linearity
, use the Gram-Schmidt algorithm with random vector
Conversion generates
Orthogonal matrix
, and calculate its inverse matrix
S106: from database, extract the secret location coded message
, and with following formula calculation template:
S107: by positional information and the checking fingerprint matching of the above fingerprint template that extracts, thereby realize that checking recovers.
As shown in Figures 2 and 3, the protection of fingerprint minutiae directional information comprises that the directional information registration is hidden and the directional information checking recovers two steps, and described directional information registration is hidden and comprised following substep:
S201: the user imports the secret password key
k, with being cut into two sub-keys after the one-way function MD5 computing
S202: sub-key
Generate independently random vector of linearity
, the minutiae point directional information is planned between 0～359 degree, quantity is maximum fingerprint minutiae parameter, and uses sub-key
Fill, obtain the minutiae point direction vector and be
, all
In the individual minutiae point direction, comprise
Individual true directions and
Individual filling direction is with sub-key
Random vector after the conversion
Corresponding element do the computing that adds of mould 360, thereby obtain secret directional information
:
S203: the secret directional information of storage in database
Described directional information checking recovers to comprise following substep:
S204: S201 is identical with step, and the user imports privacy key
k, with being cut into two sub-keys after the one-way function MD5 computing
S205: sub-key
Generate independently random vector of linearity
S206: from database, extract secret directional information
, and with following formula calculation template:
S207: by directional information and the checking fingerprint matching of the above fingerprint template that extracts, thereby realize that checking recovers.
Import the secret password key the user
Also comprise a fingerprint collecting analytical procedure: the fingerprint image that collects according to fingerprint capturer with the fingerprint characteristic extraction algorithm minutiae point information that takes the fingerprint, is expressed as before
, wherein,
,
Be horizontal ordinate,
Be ordinate,
Be the direction value, thereby obtain the positional information of fingerprint minutiae
And directional information
In fingerprint minutiae location coordinate information and the directional information protection process; after registration is hidden or checking recovers to finish; system can remove password, fingerprint image and the details in fingerprint dot information in the internal memory; that preserves only has minutiae point location coordinate information and a directional information behind the enciphering transformation, has improved the privacy of user fingerprints information and the security of protected system.
As shown in Figure 4, off-line process, input PIN password, and with fingerprint instrument scanning collection information in fingerprint is with the fingerprint characteristic extraction algorithm minutiae point information that takes the fingerprint; The sub-key that generates according to password generates orthogonal matrix and encryption to measure feature again, and minutiae point is carried out conversion protection back generate security template, thus can permanent storage.The online verification stage need point out according to application system, after input validation PIN password, the security template that will extract from database carry out the inverse transformation decoding, compares with the checking fingerprint of input, thereby can export the checking result.
Claims (5)
1. based on details in fingerprint Information hiding and the restoration methods of orthogonal matrix and modular arithmetic, it is characterized in that: the directional information that detail characteristics of fingerprints information is divided into fingerprint minutiae location coordinate information and fingerprint minutiae; The fingerprint minutiae location coordinate information is protected by the conversion of orthogonal matrix at random that sub-key of password key generates, and the directional information of fingerprint minutiae adds computing protection by the mould of another sub-key of password key.
2. details in fingerprint Information hiding and restoration methods based on orthogonal matrix and modular arithmetic according to claim 1; it is characterized in that: the protection of fingerprint minutiae location coordinate information comprises that position information registration is hidden and the positional information checking recovers two steps, and described position information registration is hidden and comprised following substep:
S101: the user imports the secret password key
k, with being cut into two sub-keys after the one-way function MD5 computing
S102: sub-key
Generate independently random vector of linearity
, use the Gram-Schmidt algorithm with random vector
Conversion generates
Orthogonal matrix
, wherein,
It is the predefined fingerprint minutiae maximum number of system; With the two-dimensional position coordinate
Be converted to one-dimensional linear coding, and with the 1st privacy key
The maximization conversion
Fill and be encoded to vector
Thereby with orthogonal matrix
Do conversion, obtain the secret location coded message
:
S103: storage secret location coded message in database
Described positional information checking recovers to comprise following substep:
S104: S102 is identical with step, and the user imports privacy key
k, with being cut into two sub-keys after the one-way function MD5 computing
S105: S103 is identical with step, sub-key
Generate independently random vector of linearity
, use the Gram-Schmidt algorithm with random vector
Conversion generates
Orthogonal matrix
, and calculate its inverse matrix
S106: from database, extract the secret location coded message
, and with following formula calculation template:
S107: by positional information and the checking fingerprint matching of the above fingerprint template that extracts, thereby realize that checking recovers.
3. details in fingerprint Information hiding and restoration methods based on orthogonal matrix and modular arithmetic according to claim 1; it is characterized in that: the protection of described fingerprint minutiae directional information comprises that the directional information registration is hidden and the directional information checking recovers two steps, and described directional information registration is hidden and comprised following substep:
S201: the user imports the secret password key
k, with being cut into two sub-keys after the one-way function MD5 computing
S202: sub-key
Generate independently random vector of linearity
, minutiae point directional information rule is turned between 0～359 degree, quantity is maximum fingerprint minutiae parameter, and uses sub-key
Fill, obtain the minutiae point direction vector and be
, all
In the individual minutiae point direction, comprise
Individual true directions and
Individual filling direction is with sub-key
Random vector after the conversion
Corresponding element do the computing that adds of mould 360, thereby obtain secret directional information
:
S203: the secret directional information of storage in database
Described directional information checking recovers to comprise following substep:
S204: S201 is identical with step, and the user imports privacy key
k, with being cut into two sub-keys after the one-way function MD5 computing
S205: sub-key
Generate independently random vector of linearity
S206: from database, extract secret directional information
, and with following formula calculation template:
S207: by directional information and the checking fingerprint matching of the above fingerprint template that extracts, thereby realize that checking recovers.
4. according to claim 2 or 3 described details in fingerprint Information hiding and restoration methods based on orthogonal matrix, it is characterized in that: import the secret password key the user
Also comprise a fingerprint collecting analytical procedure: the fingerprint image that collects according to fingerprint capturer with the fingerprint characteristic extraction algorithm minutiae point information that takes the fingerprint, is expressed as before
, wherein,
,
Be horizontal ordinate,
Be ordinate,
Be the direction value, thereby obtain the positional information of fingerprint minutiae
And directional information
5. according to claim 2 or 3 described details in fingerprint Information hiding and restoration methods based on orthogonal matrix; it is characterized in that: in fingerprint minutiae location coordinate information and the directional information protection process; after registration is hidden or checking recovers to finish; system can remove password, fingerprint image and the details in fingerprint dot information in the internal memory, preservation minutiae point location coordinate information and directional information behind the enciphering transformation only arranged.
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Cited By (11)
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|---|---|---|---|---|
| CN104009973A (en) * | 2014-05-08 | 2014-08-27 | 电子科技大学 | Fingerprint detail information hiding and recovering method based on set polynomial conversion and harmonics |
| CN106295365A (en) * | 2016-08-12 | 2017-01-04 | 武汉大学 | A kind of encrypting fingerprint template protection method and system based on orthogonal transformation |
| CN106788986A (en) * | 2016-11-28 | 2017-05-31 | 上海交通大学 | The encryption and decryption method and system of fingerprint template is expanded based on reference point |
| CN108475307A (en) * | 2015-11-13 | 2018-08-31 | 徽章公司 | Public/private key pair biological characteristic authentication system |
| CN109117646A (en) * | 2018-07-13 | 2019-01-01 | 上海大学 | A method of protection fingerprint minutiae template database privacy |
| CN109857780A (en) * | 2019-01-17 | 2019-06-07 | 西北大学 | A kind of linear-orthogonal data dissemination method for statistical query attack |
| CN110084224A (en) * | 2019-05-08 | 2019-08-02 | 电子科技大学 | Finger print safety Verification System and method on a kind of cloud |
| CN110365626A (en) * | 2018-04-09 | 2019-10-22 | 厦门雅迅网络股份有限公司 | The user in anticollision library logs in safety certifying method, terminal device and storage medium |
| CN110391899A (en) * | 2018-04-20 | 2019-10-29 | 武汉真元生物数据有限公司 | A kind of password generated method and system based on biological identification |
| CN110489989A (en) * | 2019-08-27 | 2019-11-22 | 深圳市道通智能航空技术有限公司 | Data encrypting/de-encrypling method, its encryption/deciphering chip and its unmanned plane |
| CN113591636A (en) * | 2021-07-20 | 2021-11-02 | 中国电子科技集团公司第三十研究所 | Fingerprint feature based revocable template protection technology design method |
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| CN104009973B (en) * | 2014-05-08 | 2017-04-05 | 电子科技大学 | It is a kind of based on set polynomial transformation with reconcile details in fingerprint Information hiding and restoration methods |
| CN104009973A (en) * | 2014-05-08 | 2014-08-27 | 电子科技大学 | Fingerprint detail information hiding and recovering method based on set polynomial conversion and harmonics |
| CN108475307A (en) * | 2015-11-13 | 2018-08-31 | 徽章公司 | Public/private key pair biological characteristic authentication system |
| CN106295365B (en) * | 2016-08-12 | 2019-03-15 | 武汉大学 | A kind of encrypting fingerprint template protection method and system based on orthogonal transformation |
| CN106295365A (en) * | 2016-08-12 | 2017-01-04 | 武汉大学 | A kind of encrypting fingerprint template protection method and system based on orthogonal transformation |
| CN106788986A (en) * | 2016-11-28 | 2017-05-31 | 上海交通大学 | The encryption and decryption method and system of fingerprint template is expanded based on reference point |
| CN110365626A (en) * | 2018-04-09 | 2019-10-22 | 厦门雅迅网络股份有限公司 | The user in anticollision library logs in safety certifying method, terminal device and storage medium |
| CN110365626B (en) * | 2018-04-09 | 2022-12-06 | 厦门雅迅网络股份有限公司 | User login security authentication method for anti-collision library, terminal equipment and storage medium |
| CN110391899B (en) * | 2018-04-20 | 2022-04-29 | 武汉真元生物数据有限公司 | Password generation method and system based on biological identification |
| CN110391899A (en) * | 2018-04-20 | 2019-10-29 | 武汉真元生物数据有限公司 | A kind of password generated method and system based on biological identification |
| CN109117646A (en) * | 2018-07-13 | 2019-01-01 | 上海大学 | A method of protection fingerprint minutiae template database privacy |
| CN109857780A (en) * | 2019-01-17 | 2019-06-07 | 西北大学 | A kind of linear-orthogonal data dissemination method for statistical query attack |
| CN109857780B (en) * | 2019-01-17 | 2023-04-28 | 西北大学 | Linear-orthogonal data publishing method for statistical query attack |
| CN110084224A (en) * | 2019-05-08 | 2019-08-02 | 电子科技大学 | Finger print safety Verification System and method on a kind of cloud |
| CN110084224B (en) * | 2019-05-08 | 2022-08-05 | 电子科技大学 | Cloud fingerprint security authentication system and method |
| CN110489989A (en) * | 2019-08-27 | 2019-11-22 | 深圳市道通智能航空技术有限公司 | Data encrypting/de-encrypling method, its encryption/deciphering chip and its unmanned plane |
| CN113591636A (en) * | 2021-07-20 | 2021-11-02 | 中国电子科技集团公司第三十研究所 | Fingerprint feature based revocable template protection technology design method |
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