%0 Conference Proceedings
%T A Multi-factor Biometric Based Remote Authentication Using Fuzzy Commitment and Non-invertible Transformation
%+ Vietnam National University, Ho Chi Minh City / Đại học Quốc gia TP. Hồ Chí Minh (VNU-HCM)
%A Nguyen, Thi, Thao
%A Nguyen, Dinh, Thanh
%A Dang, Tran, Khanh
%Z Part 3: Authentication and Profiling
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 3rd International Conference on Information and Communication Technology-EurAsia (ICT-EURASIA) and 9th International Conference on Research and Practical Issues of Enterprise Information Systems (CONFENIS)
%C Daejon, South Korea
%Y Ismail Khalil
%Y Erich Neuhold
%Y A Min Tjoa
%Y Li Da Xu
%Y Ilsun You
%I Springer
%3 Information and Communication Technology
%V LNCS-9357
%P 77-88
%8 2015-10-04
%D 2015
%R 10.1007/978-3-319-24315-3_8
%K Remote authentication
%K Biometric template protection
%K Biometric authentication
%K Fuzzy commitment
%K Orthonormal matrix
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X Biometric-based authentication system offers more undeniable benefits to users than traditional authentication system. However, biometric features seem to be very vulnerable - easily affected by different attacks, especially those happening over transmission network. In this work, we have proposed a novel multi-factor biometric based remote authentication protocol. This protocol is not only resistant against attacks on the network but also protects biometric templates stored in the server’s database, thanks to the combination of fuzzy commitment and non-invertible transformation technologies. The notable feature of this work as compared to previous biometric based remote authentication protocols is its ability to defend insider attack. The server’s administrator is incapable of utilizing information saved in the database by client to impersonate him/her and deceive the system. In addition, the performance of the system is maintained with the support of random orthonormal project, which reduces computational complexity while preserving its accuracy.
%G English
%Z TC 5
%Z TC 8
%Z WG 8.9
%2 https://inria.hal.science/hal-01466413/document
%2 https://inria.hal.science/hal-01466413/file/978-3-319-24315-3_8_Chapter.pdf
%L hal-01466413
%U https://inria.hal.science/hal-01466413
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-TC8
%~ IFIP-ICT-EURASIA
%~ IFIP-WG8-9
%~ IFIP-LNCS-9357
%~ IFIP-CONFENIS