A secure face authentication scheme based on honeypot technology
Yachen He, Guishan Dong, Dong Liu, Yao Wu Hao, Haiyang Peng, Yuxiang Chen · 2021
Biometric verification is considered to be one of the most reliable approaches to identity authentication. But biometric characteristics cannot be changed. The loss of privacy is permanent if they are ever compromised. In this paper, we develop a secure face authentication scheme based on honeypot technology. First, random projection technology is used to encrypt the original face feature data, which can not only provide privacy protection but also preserve the Euclidean distance and the accuracy of the certification results. Secondly, we use the fuzzy commitment scheme in the biometric encryption system to complete the face identity authentication, and further improve the security of the biometric template stored in the database. However, cryptographic hashes have only computational security whose being cracked shall leak the biometric feature, and existing face template protection schemes rarely detect whether the template has been leaked from the database or not during the verification process. Therefore, we proposed to detect the hashed password cracking, to enable the detectability of biometric template database leakage. Finally, we analyzed the performance of the proposed scheme and verified the effectiveness of the scheme.