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A Fully Anonymous Authentication Scheme Based on Medical Environment

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Algorithms and Architectures for Parallel Processing (ICA3PP 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11944))

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Abstract

The RFID (Radio Frequency IDentification) technology have been widely applied in the medical environment. Meanwhile, the demand of protecting the patients’ identity information and private medical data is becoming more and more urgent. In addition, many existing schemes only preserve privacy against the external attackers but without considering the threats from servers and readers. In this paper, we propose a fully anonymous medical mutual authentication scheme, which allows identifiers to authenticate to servers without revealing the identity. The proposed scheme applies the anonymous credential and ECC (Elliptic Curve Cryptography) to achieve anonymousness and mutual authentication. Moreover, through the security analysis, our scheme can provide privacy preserving against both the outsider and insider attackers during the authentication compared with typical ECC-based schemes. And the experimental results indicate that the cost on our novel scheme is affordable.

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References

  1. Jia, X., Feng, O., Fan, T., Lei, Q.: RFID technology and its applications in Internet of Things (IoT). In: 2012 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet), 1282–1285 (2012)

    Google Scholar 

  2. Turner, G.S., Tjaden, K.: United nations, department of economic and social affairs, population division, world fertility report 2013: fertility at the extremes. Popul. Develop. Rev. 41(3), R6987–R6989 (2015)

    Google Scholar 

  3. Gope, P., Lee, J., Quek, T.Q.S.: Resilience of DoS attack in designing anonymous user authentication protocol for wireless sensor networks. IEEE Sens. J. 17(2), 498–503 (2017)

    Article  Google Scholar 

  4. Sun, H., Li, P., Xu, H., Zhu, F.: An improvement RFID security authentication protocol based on hash function. In: Barolli, L., Xhafa, F., Javaid, N., Enokido, T. (eds.) IMIS 2018. AISC, vol. 773, pp. 375–384. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-93554-6_35

    Chapter  Google Scholar 

  5. Yu, W., Jiang, Y.: Mobile RFID mutual authentication protocol based on hash function. In: International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), October 2017

    Google Scholar 

  6. Ohkubo, M., Suzuki, K., Kinoshita, S.: Cryptographic approach to a privacy friendly Tag. In: RFID Privacy Workshop@MIT, November 2003

    Google Scholar 

  7. Ohkubo, M., Suzuki, K., Kinoshita, S.: Hash-chain based forward-secure privacy protection scheme for low-cost RFID. In: 2004 Symposium on Cryptography and Information Security, vol. 1, pp. 719–724, January 2004

    Google Scholar 

  8. Nohara, Y., Inoue, S.: A secure and scalable identification for hash-based RFID systems using updatable pre-computation. In: WiSec 2010, Hoboken, New Jersey, USA, 22–24 March 2010 (2010)

    Google Scholar 

  9. Ning, H., Liu, H., Mao, J., Zhang, Y.: Scalable and distributed key array authentication protocol in radio frequency identification based sensor systems. IET Commun. 5(12), 1755–1768 (2011)

    Article  MathSciNet  Google Scholar 

  10. Song, B., Mitchell, C.J.: Scalable RFID security protocols supporting tag ownership transfer. Comput. Commun. 34(4), 556–566 (2011)

    Article  Google Scholar 

  11. Alomair, B., Clark, A., Cuellar, J., Poovendran, R.: Scalable RFID systems: a privacy-preserving protocol with constant-time identification. IEEE Trans. Parallel Distrib. Syst. 23(8), 1536–1550 (2012)

    Article  Google Scholar 

  12. Alomair, B., Poovendran, R.: Privacy versus scalability in radio frequency identification systems. Comput. Commun. 33(18), 2155–2163 (2010)

    Article  Google Scholar 

  13. Tuyls, P., Batina, L.: RFID-tags for anti-counterfeiting. In: Pointcheval, D. (ed.) CT-RSA 2006. LNCS, vol. 3860, pp. 115–131. Springer, Heidelberg (2006). https://doi.org/10.1007/11605805_8

    Chapter  Google Scholar 

  14. Hein, D., Wolkerstorfer, J., Felber, N.: ECC is ready for RFID – a proof in silicon. In: Avanzi, R.M., Keliher, L., Sica, F. (eds.) SAC 2008. LNCS, vol. 5381, pp. 401–413. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-04159-4_26

    Chapter  Google Scholar 

  15. Lee, Y.K., Sakiyama, K., Batina, L., Verbauwhede, I.: Elliptic curve based security processor for RFID. IEEE Trans. Comput. 57(11), 1514–1527 (2008)

    Article  MathSciNet  Google Scholar 

  16. N.N.I. of Standards.: Technology: Cryptographic Hash Algorithm Competition. http://csrc.nist.gov/groups/ST/hash/sha-3/index. html

    Google Scholar 

  17. Zhang, Z., Qi, Q.: An efficient RFID authentication protocol to enhance patient medication safety using elliptic curve cryptography. J. Med. Syst. 38(5), 47 (2014). https://doi.org/10.1007/s10916-014-0047-8

    Article  Google Scholar 

  18. Farash, M., Nawaz, O.: A provably secure RFID authentication protocol based on elliptic curve for healthcare environments. J. Med. Syst. 40, 165 (2016). https://doi.org/10.1007/s10916-016-0521-6

    Article  Google Scholar 

  19. Xie, R., Xu, C., Chen, W., Li, W.: An RFID authentication protocol anonymous against readers. J. Electron. Inf. Technol. 37, 1241–1247 (2015). https://doi.org/10.11999/JEIT140902

    Article  Google Scholar 

  20. Armknecht, F., Chen, L., Sadeghi, A.-R., Wachsmann, C.: Anonymous authentication for RFID systems. In: Ors Yalcin, S.B. (ed.) RFIDSec 2010. LNCS, vol. 6370, pp. 158–175. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-16822-2_14

    Chapter  Google Scholar 

  21. Wu, F., Xu, L., Kumari, S., Li, X., Das, A.K., Shen, J.: A lightweight and anonymous RFID tag authentication protocol with cloud assistance for e-healthcare applications. J. Ambient Intel. Humanized Comput. 9(4), 919–930 (2018)

    Article  Google Scholar 

  22. Gope, P., Lee, J., Quek, T.: Lightweight and practical anonymous authentication protocol for RFID systems using physically unclonable functions. IEEE Trans. Inf. Forensics Secur. 13(11), 2831–2843 (2018)

    Article  Google Scholar 

  23. Zhao, Z.: A secure RFID authentication protocol for healthcare environments using elliptic curve cryptosystem. J. Med. Syst. 38(5), 46 (2014). https://doi.org/10.1007/s10916-014-0046-9

    Article  Google Scholar 

  24. He, D., Kumar, N., Chilamkurti, N., Lee, J.: Lightweight ECC based RFID authentication integrated with an ID verifier transfer protocol. J. Med. Syst. 38, 116 (2014). https://doi.org/10.1007/s10916-014-0116-z

    Article  Google Scholar 

  25. Chou, J.: An efficient mutual authentication RFID scheme based on elliptic curve cryptography. J. Supercomput. 70(1), 75–94 (2013). https://doi.org/10.1007/s11227-013-1073-x

    Article  Google Scholar 

  26. Liao, Y., Hsiao, C.: A secure ECC-based RFID authentication scheme integrated with ID-verifier transfer protocol. Ad. Hoc. Netw. 18, 133–146 (2013). https://doi.org/10.1016/j.adhoc.2013.02.004

    Article  Google Scholar 

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Authors and Affiliations

  1. Xidian University, Xian, China

    Jing Lv, Ning Xi & Xue Rao

Authors
  1. Jing Lv
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  2. Ning Xi
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  3. Xue Rao
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Corresponding authors

Correspondence to Jing Lv , Ning Xi or Xue Rao .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Software Engineering, Swinburne University of Technology, Hawthorn, Melbourne, VIC, Australia

    Sheng Wen

  2. School of Computer Science, The University of Sydney, Camperdown, NSW, Australia

    Albert Zomaya

  3. Department of Computer Science, St. Francis Xavier University, Antigonish, NS, Canada

    Laurence T. Yang

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Lv, J., Xi, N., Rao, X. (2020). A Fully Anonymous Authentication Scheme Based on Medical Environment. In: Wen, S., Zomaya, A., Yang, L. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2019. Lecture Notes in Computer Science(), vol 11944. Springer, Cham. https://doi.org/10.1007/978-3-030-38991-8_32

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