Abstract
This paper proposes an efficient three-factor remote user authentication scheme based on random projected biometrics. Similarity-preserving property of random projection overcomes the sensitivity of one-way hash to the intra-class variation of biometric. Furthermore, special random projection is a non-invertible transformation and the seed of random matrix can be easily changed so that privacy protection and biometric changeability are guaranteed. The templates are matched on the client side to resist insider attacks. Besides, both the computational burden of server and the communication load via channel are alleviated. The comprehensive analysis indicates that the proposed scheme is secure.
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Acknowledgments
The authors extend special thanks to the Editor and reviewers for their constructive comments. This work was partially supported by the Chongqing Research Program of Basic Research and Frontier Technology (Grant: cstc2017jcyjAX0406, cstc2017jcyjAX0325 and cstc2018jcyjAX0151) and the Science and Technology Research Program of Chongqing Municipal Education Commission (Grant: KJQN201800638, KJQN201800612, KJQN201801907 and KJ1717371).
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Zhong, F., Zhou, R., Liu, L., Liu, K., Zhang, Y. (2020). An Efficient Three-Factor Remote User Authentication Scheme Based on Random Projected Biometrics. In: Liu, Y., Wang, L., Zhao, L., Yu, Z. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Advances in Intelligent Systems and Computing, vol 1075. Springer, Cham. https://doi.org/10.1007/978-3-030-32591-6_91
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DOI: https://doi.org/10.1007/978-3-030-32591-6_91
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