A new framework for privacy-preserving biometric-based remote user authentication

• Main Authors: TIAN, Yangguang, LI, Yingjiu, DENG, Robert H., LI, Nan, WU, Pengfei, LIU, Anyi
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Remote user authentication; oblivious RAM; computational fuzzy extractors; strong privacy; constant bandwidth; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/5305; https://ink.library.smu.edu.sg/context/sis_research/article/6308/viewcontent/New_framework_for_privacy_preserving_biometric_based_rua_av.pdf
• Institution: Singapore Management University

In this paper, we introduce the first general framework for strong privacy-preserving biometric-based remote user authentication based on oblivious RAM (ORAM) protocol and computational fuzzy extractors. We define formal security models for the general framework, and we prove that it can achieve use...