Biological characteristic remote authentication method based on visual codes

Abstract

The invention provides a biological characteristic remote authentication method based on visual codes, which is used for solving potential security hazards in data storage and transmission in the traditional biological characteristic remote authentication system. The method comprises the following steps: registering a user; storing a registered biological characteristic image into multiple shares by a visual code method on a common access structure, defining a permission set of share images, and ensuring that only share combinations in the permission set can recover the registered biological characteristic image; superposing any share combinations in the permission set, and carrying out logic or operation to decrypt the registered biological characteristic image; and finally, authenticating the access user by using the decrypted registered biological characteristic images. The invention can ensure that the secret biological characteristic image can be recovered when any share images are damaged, and ensure no leakage of secret biological characteristic image information even if part of shares are thieved, thereby enhancing the data storage and transmission security in the biological characteristic remote authentication process.

Description

technical field [0001] The invention belongs to the technical field of network security, and relates to the security technology of biological feature privacy protection in the remote authentication process, specifically a biological feature based on a visible password on a general access structure, such as fingerprints, irises, faces, etc., remotely The authentication method is used to secretly store the biometrics in the database using the visual password method on the general access structure, so as to ensure the security of the biometric data in the process of transmission and storage. Background technique [0002] In the process of biometric remote authentication, in order to ensure that biometric data are not maliciously damaged and stolen, security protection technology is needed as support. In most existing schemes, the method of organically integrating the key and the biometric template data is usually used to ensure the security of the biometric data during storage ...

AI Technical Summary

Problems solved by technology

[0004] First of all, the two-to-two threshold visual cryptography method can recover the secret biometric image only when all shares are owned at the same time, so once any share stored in the server is destroyed, the secret biometric image cannot be recovered;

[0005] Secondly, since biometric matching is generally performed on the client side, the share image must be transmitted to the client. However, the two-to-two threshold visual encryption method is simple in construction and only generates two shares. During the transmission process, once the two shares are lost at the same time , the chances of stealing a secret biometric image are greatly increased

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