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Fuzzy Authentication Using Rank Distance

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Proceedings of the 2nd Workshop on Communication Security (WCS 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 447))

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Abstract

Fuzzy authentication allows authentication based on the fuzzy matching of two objects, for example based on the similarity of two strings in the Hamming metric, or on the similiarity of two sets in the set difference metric. Aim of this paper is to show other models and algorithms of secure fuzzy authentication, which can be performed using the rank metric. A few schemes are presented which can then be applied in different scenarios and applications.

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References

  1. Baldi M, Bianchi M, Chiaraluce F, Rosenthal J, Schipani D (2011) On fuzzy syndrome hashing with LDPC coding. In: 4th International symposium on applied sciences in biomedical and communication technologies (ISABEL). ACM, pp 1–5

    Google Scholar 

  2. Cossidente A, Marino G, Pavese F (2016) Non-linear maximum rank distance codes. Des Codes Cryptogr 79(3):597–609

    Article  MathSciNet  MATH  Google Scholar 

  3. de la Cruz J, Kiermaier M, Wassermann A, Willems W (2016) Algebraic structures of MRD codes. Adv Math Commun 10:499–510

    Article  MathSciNet  MATH  Google Scholar 

  4. Fontein F, Marshall K, Rosenthal J, Schipani D, Trautmann A-L (2012) On burst error correction and storage security of noisy data. In: 20th International symposium on mathematical theory of networks and systems (MTNS), pp 1–7

    Google Scholar 

  5. Gabidulin EM (1985) Theory of codes with maximum rank distance. Probl Pereda Inf 21(1):3–16

    MathSciNet  MATH  Google Scholar 

  6. Horlemann-Trautmann A, Marshall K (2017) New criteria for MRD and gabidulin codes and some rank-metric code constructions. In: Advances in mathematics of communications. arXiv:1507.08641, (to appear)

  7. Juels A, Sudan M (2006) A fuzzy vault scheme. Des Codes Cryptogr 38(2):237–257

    Article  MathSciNet  MATH  Google Scholar 

  8. Juels A, Wattenberg M (1999) A fuzzy commitment scheme. In: 6th ACM conference on computer and communications security, CCS’99, pp 28–36

    Google Scholar 

  9. Kshevetskiy A, Gabidulin E (2005) The new construction of rank codes. Int Symp Inf Theory (ISIT) 2005:2105–2108

    Google Scholar 

  10. Loidreau P (2006) A Welch–Berlekamp like algorithm for decoding gabidulin codes. In: Coding and cryptography. Springer, pp 36–45

    Google Scholar 

  11. Marshall K, Schipani D, Trautmann A-L, Rosenthal J (2016) Subspace fuzzy vault. In: Physical and data-link security techniques for future communication systems. Springer, pp 163–172

    Google Scholar 

  12. Neri A, Horlemann-Trautmann A-L, Randrianarisoa T, Rosenthal J (2017) On the genericity of maximum rank distance and gabidulin codes. Designs Codes and Cryptography, pp. 1–23. doi:10.1007/s10623-017-0354-4

  13. Richter G, Plass S (2004) Error and erasure decoding of rank-codes with a modified Berlekamp-Massey algorithm. In: ITG FACHBERICHT, pp 203–210

    Google Scholar 

  14. Roth R (1991) Maximum-rank array codes and their application to crisscross error correction. IEEE Trans Inf Theory 37(2):328–336

    Article  MathSciNet  MATH  Google Scholar 

  15. Schipani D, Rosenthal J (2010) Coding solutions for the secure biometric storage problem. Inf Theory Worksh (ITW) 2010:1–4

    Google Scholar 

  16. Sheekey J (2016) A new family of linear maximum rank distance codes. Adv Math Commun 10:475–488

    Article  MathSciNet  MATH  Google Scholar 

  17. Silva D, Kschischang F (2009) Fast encoding and decoding of Gabidulin codes. Int Symp Inf Theory (ISIT) 2009:2858–2862

    Google Scholar 

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Acknowledgements

The authors were supported by Swiss National Science Foundation grant n.169510.

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Correspondence to Alessandro Neri .

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Neri, A., Rosenthal, J., Schipani, D. (2018). Fuzzy Authentication Using Rank Distance. In: Baldi, M., Quaglia, E., Tomasin, S. (eds) Proceedings of the 2nd Workshop on Communication Security. WCS 2017. Lecture Notes in Electrical Engineering, vol 447. Springer, Cham. https://doi.org/10.1007/978-3-319-59265-7_7

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  • DOI: https://doi.org/10.1007/978-3-319-59265-7_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59264-0

  • Online ISBN: 978-3-319-59265-7

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