A Privacy Preserving Biometric Identification Method Based on Hamming Distance

Abstract

The invention belongs to the technical field of biometric identification and network security, and discloses a privacy protection biometric identification method based on Hamming distance. The privacy protection biometric identification method based on Hamming distance first generates a random key, based on Hamming distance and position The idea of ​​Sensitive Hash (LSH) encrypts the data stored in the database and stores it in the form of ciphertext; when performing biometric identification, the information to be identified is encrypted with the same key, and then compared with the database The encrypted information is quickly matched and the result is returned to the user. The method of the invention is simple, convenient and efficient in operation, improves the success rate of biometric identification, and protects the privacy of biometric information.

Description

technical field [0001] The invention belongs to the technical fields of biological identification and network security, and in particular relates to a privacy protection biological identification method based on Hamming distance. Background technique [0002] Biometrics refers to the technology of identifying a person's identity based on biological information such as fingerprints, irises, DNA, facial features, voice features, and behavioral features. It is widely used in many fields. Nowadays, with the development and popularization of cloud computing, database outsourcing is becoming more and more popular. Data owners usually outsource data to cloud servers. Since biological information is very sensitive information, once it is leaked, it will bring privacy and legal issues. Therefore, how to design an effective privacy-preserving biometric method is an urgent problem to be solved. In existing technologies, such as using homomorphic encryption and inadvertent transmission...

AI Technical Summary

Problems solved by technology

In existing technologies, such as using homomorphic encryption and inadvertent transmission, this requires relatively large overhead and is difficult to use in large-scale applications. Although there is another type of method that has improved efficiency, it cannot resist selection. Sexual plaintext attacks cannot guarantee the privacy and security of biological information

[0003] To sum up, the problem existing in the existing technology is that the privacy and efficiency of biometric identification cannot be guaranteed at the same time.

On the one hand, the existing technologies are not secure enough in encryption algorithms and biometric algorithms, allowing attackers to obtain data information; relatively low

Images