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Authentication System Based on Fuzzy Extractors

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12939))

Abstract

In this paper, we research on client-server authentication system without local key storage. We take advantage of the available fuzzy extractor technology to design a client-server authentication system. Our authentication system is built from a fuzzy extractor and a digital signature scheme. Fuzzy extractor is in charge of key generation/reproduction during the client enrollment and client-server authentication stages. The client only stores some public information generated during enrollment procedure. When doing authentication, the extracted key can be reproduced with this public information. Then we use the challenge-response to implement the authentication, which is supported by the digital signature. Overall, our client-server authentication system relaxes the requirement of random sources, and gets rid of the risk of key leakage and key abuse since key storage is not needed.

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Acknowledgement

Shengli Liu and Mingming Jiang were partially supported by Guangdong Major Project of Basic and Applied Basic Research (2019B030302008) and National Natural Science Foundation of China (NSFC No. 61925207). Shuai Han was partially supported by National Natural Science Foundation of China (Grant No. 62002223), Shanghai Sailing Program (20YF1421100), and Young Elite Scientists Sponsorship Program by China Association for Science and Technology. Dawu Gu was partially supported by National Key Research and Development Project 2020YFA0712300.

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Jiang, M., Liu, S., Han, S., Gu, D. (2021). Authentication System Based on Fuzzy Extractors. In: Liu, Z., Wu, F., Das, S.K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2021. Lecture Notes in Computer Science(), vol 12939. Springer, Cham. https://doi.org/10.1007/978-3-030-86137-7_51

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  • DOI: https://doi.org/10.1007/978-3-030-86137-7_51

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86136-0

  • Online ISBN: 978-3-030-86137-7

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