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Abstract

In this paper, we present a novel framework for the generic construction of biometric Identity Based Encryption (IBE) schemes, which do not require bilinear pairings and result in more efficient schemes than existing fuzzy IBE systems implemented for biometric identities. Also, we analyze the security properties that are specific to biometric IBE namely anonymity and identity privacy. Considering these notions, we present generic constructions for biometric IBE and ID-KEM based on weakly secure anonymous IBE schemes, error correcting codes and generic conversion schemes. Finally, we describe concrete applications of our framework and compare them to the existing fuzzy IBE systems in terms of time complexity.

Keywords

Biometric IBE Generic Construction IND-CCA Anonymity Error Correcting Codes 

References

  1. 1.
    Ateniese, G., Gasti, P.: Universally Anonymous IBE Based on the Quadratic Residuosity Assumption. In: Fischlin, M. (ed.) RSA Conference 2009. LNCS, vol. 5473, pp. 32–47. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  2. 2.
    Baek, J., Susilo, W., Zhou, J.: New constructions of fuzzy identity-based encryption. In: ASIACCS’07, pp. 368–370. ACM, New York (2007)Google Scholar
  3. 3.
    Bentahar, K., Farshim, P., Malone-Lee, J., Smart, N.P.: Generic Constructions of Identity-Based and Certificateless KEMs. J. Cryptology 21(2), 178–199 (2008)MathSciNetCrossRefzbMATHGoogle Scholar
  4. 4.
    Boneh, D., Franklin, M.K.: Identity-Based Encryption from the Weil Pairing. SIAM J. Comput. 32(3), 586–615 (2003)MathSciNetCrossRefzbMATHGoogle Scholar
  5. 5.
    Boneh, D., Gentry, C., Hamburg, M.: Space-Efficient Identity Based Encryption Without Pairings. In: FOCS’07, pp. 647–657. IEEE, Los Alamitos (2007)Google Scholar
  6. 6.
    Boyen, X., Dodis, Y., Katz, J., Ostrovsky, R., Smith, A.: Secure Remote Authentication Using Biometric Data. In: Cramer, R. (ed.) EUROCRYPT 2005. LNCS, vol. 3494, pp. 147–163. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  7. 7.
    Bringer, J., Chabanne, H., Cohen, G.D., Kindarji, B., Zémor, G.: Optimal Iris Fuzzy Sketches. In: BTAS’07, pp. 1–6. IEEE, Los Alamitos (2007)Google Scholar
  8. 8.
    Bringer, J., Chabanne, H., Izabachène, M., Pointcheval, D., Tang, Q., Zimmer, S.: An Application of the Goldwasser-Micali Cryptosystem to Biometric Authentication. In: Pieprzyk, J., Ghodosi, H., Dawson, E. (eds.) ACISP 2007. LNCS, vol. 4586, pp. 96–106. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  9. 9.
    Burnett, A., Byrne, F., Dowling, T., Duffy, A.: A Biometric Identity Based Signature Scheme. International Journal of Network Security 5(3), 317–326 (2007)Google Scholar
  10. 10.
    Chen, C., Veldhuis, R.N.J., Kevenaar, T.A.M., Akkermans, A.H.M.: Multi-bits biometric string generation based on the likelyhood ratio. In: BTAS’07, pp. 1–6. IEEE, Los Alamitos (2007)Google Scholar
  11. 11.
    Dodis, Y., Smith, A.: Correcting errors without leaking partial information. In: STOC’05, pp. 654–663. ACM, New York (2005)Google Scholar
  12. 12.
    Fujisaki, E., Okamoto, T.: Secure integration of asymmetric and symmetric encryption schemes. In: Wiener, M. (ed.) CRYPTO 1999. LNCS, vol. 1666, pp. 537–554. Springer, Heidelberg (1999)CrossRefGoogle Scholar
  13. 13.
    Furukawa, J., Attrapadung, N., Sakai, R., Hanaoka, G.: A Fuzzy ID-Based Encryption Efficient When Error Rate Is Low. In: Chowdhury, D.R., Rijmen, V., Das, A. (eds.) INDOCRYPT 2008. LNCS, vol. 5365, pp. 116–129. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  14. 14.
    Kitagawa, T., Yang, P., Hanaoka, G., Zhang, R., Watanabe, H., Matsuura, K., Imai, H.: Generic Transforms to Acquire CCA-Security for Identity Based Encryption: The Cases of FOpkc and REACT. In: Batten, L.M., Safavi-Naini, R. (eds.) ACISP 2006. LNCS, vol. 4058, pp. 348–359. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  15. 15.
    Li, Q., Sutcu, Y., Memon, N.D.: Secure Sketch for Biometric Templates. In: Lai, X., Chen, K. (eds.) ASIACRYPT 2006. LNCS, vol. 4284, pp. 99–113. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  16. 16.
    Okamoto, T., Pointcheval, D.: REACT: Rapid Enhanced-Security Asymmetric Cryptosystem Transform. In: Naccache, D. (ed.) CT-RSA 2001. LNCS, vol. 2020, pp. 159–175. Springer, Heidelberg (2001)CrossRefGoogle Scholar
  17. 17.
    Pirretti, M., Traynor, P., McDaniel, P., Waters, B.: Secure Attribute-Based Systems. In: ACM CCS’06, pp. 99–112. ACM, New York (2006)Google Scholar
  18. 18.
    Sahai, A., Waters, B.: Fuzzy Identity-Based Encryption. In: Cramer, R. (ed.) EUROCRYPT 2005. LNCS, vol. 3494, pp. 457–473. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  19. 19.
    Sarier, N.D.: A New Biometric Identity Based Encryption Scheme. In: TrustCom’08, pp. 2061–2066. IEEE, Los Alamitos (2008)Google Scholar
  20. 20.
    Sarier, N.D.: Biometric Identity Based Signature Revisited. In: EuroPKI’09. Springer, Heidelberg (2009) (to appear)Google Scholar
  21. 21.
    Shahandashti, S.F., Safavi-Naini, R.: Threshold Attribute-Based Signatures and Their Application to Anonymous Credential Systems. In: Preneel, B. (ed.) Progress in Cryptology – AFRICACRYPT 2009. LNCS, vol. 5580, pp. 198–216. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  22. 22.
    Tang, Q., Bringer, J., Chabanne, H., Pointcheval, D.: A Formal Study of the Privacy Concerns in Biometric-Based Remote Authentication Schemes. In: Chen, L., Mu, Y., Susilo, W. (eds.) ISPEC 2008. LNCS, vol. 4991, pp. 56–70. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  23. 23.
    van Liesdonk, P.P.: Anonymous and Fuzzy Identity-Based Encryption. Master’s thesis, Technische Universiteit Eindhoven (2007)Google Scholar
  24. 24.
    Yang, P., Cao, Z., Dong, X.: Fuzzy Identity Based Signature. Cryptology ePrint Archive, Report 2008/002 (2008), http://eprint.iacr.org/

Copyright information

© IFIP International Federation for Information Processing 2010

Authors and Affiliations

  • Neyire Deniz Sarier
    • 1
  1. 1.Bonn-Aachen International Center for Information TechnologyComputer Security GroupBonnGermany

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