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An Efficient Three-Factor Remote User Authentication Scheme Based on Random Projected Biometrics

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Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1075))

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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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References

  1. Huang, X., Xiang, Y., Chonka, A., Zhou, J., Deng, R.H.: A generic framework for three-factor authentication: preserving security and privacy in distributed systems. IEEE Trans. Parallel Distrib. Syst. 22(8), 1390–1397 (2011)

    Article  Google Scholar 

  2. Hwang, M.S., Li, L.H.: A new remote user authentication scheme using smart cards. IEEE Trans. Consum. Electron. 46(1), 28–30 (2000)

    Article  Google Scholar 

  3. Lee, J.K., Ryu, S.R., Yoo, K.Y.: Fingerprint-based remote user authentication scheme using smart cards. Electron. Lett. 38(12), 554–555 (2002)

    Article  Google Scholar 

  4. Lin, C.H., Lai, Y.Y.: A flexible biometrics remote user authentication scheme. Comput. Stand. Interfaces 27(1), 19–23 (2004)

    Article  Google Scholar 

  5. Khan, M.K., Zhang, J.S., Wang, X.: Chaotic hash-based fingerprint biometric remote user authentication scheme on mobile devices. Chaos Solitons Fractals 35(3), 519–524 (2008)

    Article  Google Scholar 

  6. Li, C.T., Hwang, M.S.: An efficient biometrics-based remote user authentication scheme using smart cards. J. Netw. Comput. Appl. 33(1), 1–5 (2010)

    Article  Google Scholar 

  7. Li, X., Niu, J.W., Ma, J., Wang, W.D., Liu, C.L.: Cryptanalysis and improvement of a biometrics-based remote user authentication scheme using smart cards. J. Netw. Comput. Appl. 34(1), 73–79 (2011)

    Article  Google Scholar 

  8. Das, A.K.: Analysis and improvement on an efficient biometric-based remote user authentication scheme using smart cards. IET Inf. Secur. 5(3), 145–151 (2011)

    Article  Google Scholar 

  9. An, Y.: Security analysis and enhancements of an effective biometric-based remote user authentication scheme using smart cards. BioMed Res. Int. (2012). Article ID 519723

    Google Scholar 

  10. Khan, M.K., Kumari, S.: An improved biometrics-based remote user authentication scheme with user anonymity. BioMed Res. Int. (2013). Article ID 491289

    Google Scholar 

  11. Wen, F., Susilo, W., Yang, G.: Analysis and improvement on a biometric-based remote user authentication scheme using smart cards. Wirel. Pers. Commun. 80(4), 1747–1760 (2015)

    Article  Google Scholar 

  12. Limbasiya, T., Doshi, N.: An analytical study of biometric based remote user authentication schemes using smart cards. Comput. Electr. Eng. 000, 1–17 (2017)

    Google Scholar 

  13. Soliman, R.F., Amin, M., El-Samie, F.E.A.: A modified cancelable biometrics scheme using random projection. Ann. Data Sci. 6, 1–14 (2018)

    Google Scholar 

  14. Larsen, K.G., Nelson, J.: Optimality of the Johnson-Lindenstrauss lemma. In: 2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS), pp. 633–638 (2017)

    Google Scholar 

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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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Authors and Affiliations

  1. Chongqing Key Laboratory of Computational Intelligence, Chongqing, 400065, China

    Fujin Zhong, Ruili Zhou, Li Liu & Ke Liu

  2. School of Software, Chongqing Institute of Engineering, Chongqing, 400065, China

    Youmin Zhang

Authors
  1. Fujin Zhong
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  2. Ruili Zhou
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  3. Li Liu
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  4. Ke Liu
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  5. Youmin Zhang
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Corresponding author

Correspondence to Li Liu .

Editor information

Editors and Affiliations

  1. The University of Aizu, Aizuwakamatsu, Japan

    Yong Liu

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Lipo Wang

  3. Computer Science and Mathematics, University of Sao Paulo, Ribeirao Preto, Brazil

    Liang Zhao

  4. School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China

    Zhengtao Yu

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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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