A Key Generation Method Based on Multimodal Biometric Features

Abstract

The invention discloses a secret key generation method based on multi-modal biological characteristics, comprising (1) collecting characteristic images of N species of biology, extracting and quantifying the biological characteristic data as characteristic vector, (2) processing the characteristic vector and extracting the binary string to present the characteristic of the creature, (3) generating a random secret key, binding and outputting a public template P by utilizing a Shamir secret sharing method with the binary string collection, (4) sampling M creature characteristics and obtaining a binary string collection, wherein n>-M>=t>=2, and the t is a threshold value of the Shamir method, 5) inputting the binary string collection and the template P into the Shamir secret sharing method to recovery a secret key K', (6)and comparing the K and K'. The invention can improve the recognition rate and reduce the false rejection rate, can produce secret key with higher entropy, and can finish the user authentification while recovering the secret key by binding the user identity and the secret key.

Description

technical field [0001] The invention belongs to the fields of information security and biometric identification, and in particular relates to a method for generating a key based on multimodal biometric features. Background technique [0002] With the widespread use of cloud computing and smart terminals, mobile cloud is deeply affecting all aspects of people's lives. Nowadays, users are accustomed to storing a large amount of personal data in the cloud and obtaining the data through various devices when needed. However, due to the security and privacy protection issues in the cloud, users usually choose to encrypt personal privacy data before uploading to the cloud, and decrypt the data at the terminal before reading the data. This process requires a proper key management method. However, traditional key management methods have certain limitations, such as easy to forget passwords and insufficient security strength, easy to lose tokens and inconvenient to carry, etc. The ...

AI Technical Summary

Problems solved by technology

However, the problem with single-mode is that due to the lack of stable information describing the user, the length of the generated key is not enough, and the recognition rate and rejection rate are not ideal.

In the mobile cloud scenario, the biological collection devices of different smart terminals are inconsistent, resulting in poor cross-terminal support for user data decryption

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