Symmetric hash based irreversible fingerprint template encryption method

Abstract

The invention discloses a symmetric hash based irreversible fingerprint template encryption method, and belongs to the technical field of fingerprint identification and encryption fusion in mode identification. A symmetric hash function is combined with a sine cosine function to ensure the irreversibility of hash operation strictly and improve the security of the whole encryption algorithm. The number of equation sets of the constructed hash function is lower than that of input, namely, a rank of a inhomogeneous equation set coefficient matrix equals that of an augmented matrix and is lower than the number of the equation sets, the equation sets include infinite solutions theoretically, and input data information cannot be obtained by an inversion method. In addition, output of the sine cosine function corresponds to the characteristic of infinite multiple input, so that the irreversibility of the method is further improved. An original fingerprint of a user cannot be obtained by inversion even if an attacker steals a secret key and template of the user. In the process of hash operation, a secret key manner of the user is combined in a simple and more efficient way, and the cancellation performance is higher.

Description

technical field [0001] The invention belongs to the technical field of fingerprint recognition and encryption fusion in pattern recognition, and in particular relates to an irreversible fingerprint template encryption method based on symmetric hash. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: Biometric encryption is a hot research field that has emerged in recent years. It aims to organically combine the existing biometric identification and cryptography technologies, give full play to their respective advantages, reduce the pressure on key management, and provide stronger security protection and protection for sensitive information. control. Fingerprint features are inherent features of the human body, unique and invariant for life. Once the user fingerprint template in the identification system is lost, it will be permanent. Moreover, fingerprint feature information also includes personal genetics, hea...

AI Technical Summary

Problems solved by technology

Although the above-mentioned traditional fingerprint template encryption schemes have realized the revocability of the encrypted template to a certain extent, there are still key deficiencies in the protection of the user's original information by this kind of encryption method.

Although the above method protects the user's original biometric information to a certain extent through the principle of simple many-to-one mapping, it has low security strength because it does not combine strict irreversible transformation encryption functions. Such methods can easily obtain the user's original biometric information, resulting in the leakage of user privacy information.

In addition, the above method uses the traditional fingerprint registration method based on minutiae or singular points. Due to the influence of fingerprint deformation, the registration effect is often not ideal, and whether the fingerprint is accurately registered has a great impact on the final matching result.

[0003] In summary, the problems in the prior art are: The traditional fingerprint template encryption scheme still has a key deficiency in the security strength of the protection of the user's original information. If the administrator steals the user key and the encrypted template at the same time, the difficulty of cracking will be greatly reduced.

Then combined with the symmetric hash irreversible transformation encryption function to protect the user's original fingerprint information, a fingerprint template encryption method with high recognition accuracy and security strength is realized, which can protect the user's fingerprint information security under the premise of ensuring user fingerprint identification. From the algorithm level It eliminates the possibility of attackers illegally obtaining user fingerprint biometric information, solves the problem that fingerprint identification is widely used in the market but user fingerprint security is not taken seriously, and provides an effective technical means to fill the fingerprint template on the market. Gaps in encryption

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