Statistical attack against fuzzy commitment scheme

IET Biometrics

Volumn 1, Issue 2, 2012, Pages 94-104

  Rathgeb, C ^a   Uhl, A ^a  

^a UNIVERSITY OF SALZBURG   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

BINOMIAL DISTRIBUTION; BIOMETRIC FEATURES; BIOMETRIC TEMPLATE; CODE-WORDS; CRYPTOGRAPHIC KEY; EXPERIMENTAL EVALUATION; FALSE ACCEPTANCE; FUZZY COMMITMENT; STANDARD DEVIATION; STATISTICAL ATTACKS;

ENTROPY; ERROR CORRECTION;

BIOMETRICS;

EID: 84866840126     PISSN: 20474938     EISSN: 20474946     Source Type: Journal    
DOI: 10.1049/iet-bmt.2011.0001     Document Type: Article

References (39)

1. Jain, A.K., Ross, A., and Prabhakar, S.: ' An introduction to biometric recognition ', IEEE Trans. Circuits Syst. Video Technol., 2004, 14, p. 4-20 10.1109/TCSVT.2003.818349 1051-8215
2. Jain, A.K., Nandakumar, K., and Nagar, A.: ' Biometric template security ', EURASIP J. Adv. Signal Process., 2008, 2008, p. 1-17 10.1155/2008/657081
3. Rathgeb, C., and Uhl, A.: ' A survey on biometric cryptosystems and cancelable biometrics ', EURASIP J. Inf. Sec., 2011, 2011, (3) 10.1186/1687-417X-2011-3
4. Juels, A., and Wattenberg, M.: ' A fuzzy commitment scheme ', Sixth ACM Conf. on Computer and Communications Security, 1999, p. 28-36
5. Delvaux, N., Chabanne, H., and Bringer, J.: et al. ' Pseudo identities based on fingerprint characteristics ', IIH-MSP'08: Proc. 2008 Int. Conf. on Intelligent Information Hiding and Multimedia Signal Processing, Washington, DC, USA, 2008, p. 1063-1068
6. Hao, F., Anderson, R., and Daugman, J.: ' Combining cryptography with biometrics effectively ', IEEE Trans. Comput., 2006, 55, (9), p. 1081-1088 10.1109/TC.2006.138 0018-9340
7. Nandakumar, K.: ' A fingerprint cryptosystem based on minutiae phase spectrum ', Proc. IEEE Workshop on Information Forensics and Security (WIFS), 2010
8. Stoianov, A., Kevenaar, T., and van der Veen, M.: ' Security issues of biometric encryption ', Proc. Toronto Int. Conf. on Science and Technology for Humanity (TIC-STH), 2009, p. 34-39
9. Bringer, J., Chabanne, H., Cohen, G., Kindarji, B., and Zémor, G.: ' Theoretical and practical boundaries of binary secure sketches ', IEEE Trans. Inf. Forensics Sec., 2008, 3, p. 673-683 10.1109/TIFS.2008.2002937
10. Rathgeb, C., and Uhl, A.: ' Adaptive fuzzy commitment scheme based on iris-code error analysis ', Proc. Second European Workshop on Visual Information Processing (EUVIP'10), 2010, p. 41-44
11. Teoh, A., and Kim, J.: ' Secure biometric template protection in fuzzy commitment scheme ', IEICE Electron. Express, 2007, 4, (23), p. 724-730 10.1587/elex.4.724
12. Tong, V., Sibert, H., Lecoeur, J., and Girault, M.: ' Biometric fuzzy extractors made practical: a proposal based on fingercodes ', Int. Conf. on Biometrics, 2007, (LNCS, 4642)
13. Ao, M., and Li, S.Z.: ' Near infrared face based biometric key binding ', Proc. Third Int. Conf. on Biometrics, (ICB'09), 2009, p. 376-385, (LNCS, 5558)
14. Lu, H., Martin, K., Bui, F., Plataniotis, K., and Hatzinakos, D.: ' Face recognition with biometric encryption for privacy-enhancing self-exclusion ', Proc. 16th Int. Conf. on Digital Signal Processing (DSP 2009), 2009
15. Rathgeb, C., and Uhl, A.: ' Systematic construction of iris-based fuzzy commitment schemes ', Proc. Third Int. Conf. on Biometrics, 2009 (ICB'09), 2009, p. 947-956, (LNCS, 5558)
16. Zhang, L., Sun, Z., Tan, T., and Hu, S.: ' Robust biometric key extraction based on iris cryptosystem ', Proc. Third Int. Conf. on Biometrics, (ICB'09), 2009, p. 1060-1070, (LNCS, 5558)
17. Ignatenko, T., and Willems, F.M.J.: ' Achieving secure fuzzy commitment scheme for optical pufs ', Int. Conf. on Intelligent Information Hiding and Multimedia Signal Processing, Los Alamitos, CA, USA, 2009, p. 1185-1188
18. Cavoukian, A., and Stoianov, A.: ' Biometric encryption: the new breed of untraceable biometrics ', (Biometrics: fundamentals theory and systems, Wiley, 2009)
19. Rathgeb, C., and Uhl, A.: ' Statistical attack against iris-biometric fuzzy commitment schemes ', Proc. IEEE Computer Society and IEEE Biometrics Council Workshop on Biometrics (CVPRW'11), 2011, p. 25-32
20. Ignatenko, T., and Willems, F.M.J.: ' Information leakage in fuzzy commitment schemes ', Trans. Inf. Forensics Sec., 2010, 5, (2), p. 337-348 10.1109/TIFS.2010.2046984
21. Failla, P., Sutcu, Y., and Barni, M.: ' Esketch: a privacy-preserving fuzzy commitment scheme for authentication using encrypted biometrics ', Proc. 12th ACM workshop on Multimedia and security, ser. MMSec'10, 2010, p. 241-246
22. Simoens, K., Tuyls, P., and Preneel, B.: ' Privacy weaknesses in biometric sketches ', Proc. 30th IEEE Symp. on Security and Privacy, 2009, p. 188-203
23. Buhan-Dulman, I., Merchan, J.G., and Kelkboom, E.: ' Efficient strategies for playing the indistinguishability game for fuzzy sketches ', Proc. IEEE Workshop on Information Forensics and Security (WIFS), 2010
24. Kelkboom, E.J.C., Breebaart, J., Kevenaar, T.A.M., Buhan, I., and Veldhuis, R.N.J.: ' Preventing the decodability attack based cross-matching in a fuzzy commitment scheme ', Trans. Inf. Forensics Sec., 2010, 6, (1), p. 107-121 10.1109/TIFS.2010.2091637
25. Rathgeb, C., Uhl, A., and Wild, P.: ' Reliability-balanced feature level fusion for fuzzy commitment scheme ', Proc. Int. Joint Conf. on Biometrics (IJCB'11), Washington, DC, USA, October, 2011, p. 1-7
26. Maiorana, E., Campisi, P., and Neri, A.: ' User adaptive fuzzy commitment for signature templates protection and renewability ', SPIE J. Electron. Imaging Spec. Section Biometrics, Adv. Sec. Usability Interoperability, 2008, 17, (1), p. 1-12 10.1117/1.2885239
27. Juels, A., and Sudan, M.: ' A fuzzy vault scheme ', Proc. 2002 IEEE Int. Symp. on Information Theory, 2002, p. 408
28. Xu, H., and Veldhuis, R.N.: ' Binary representations of fingerprint spectral minutiae features ', Proc. 20th Int. Conf. on Pattern Recognition (ICPR'10), 2010, p. 1212-1216
29. Bringer, J., and Despiegel, V.: ' Binary feature vector fingerprint representation from minutiae vicinities ', Proc. Fourth IEEE Int. Conf. on Biometrics: Theory, Applications and Systems (BTAS'10), 2010, p. 1-6
30. Hollingsworth, K.P., Bowyer, K.W., and Flynn, P.J.: ' The best bits in an iris code ', IEEE Trans. Pattern Anal. Mach. Intell., 2009, 31, (6), p. 964-973 10.1109/TPAMI.2008.185 0162-8828
31. Viveros, R., Balasubramanian, K., and Balakrishnan, N.: ' Binomial and negative binomial analogues under correlated bernoulli trials ', Am. Stat., 1984, 48, (3), p. 243-247 The American Statistician 0003-1305
32. Tuyls, P., Akkermans, A.H.M., Kevenaar, T.A.M., Schrijen, G.J., Bazen, A.M., and Veldhuis, R.N.J.: ' Practical biometric authentication with template protection ', Proc. Audio- and Video-Based Biometric Person Authentication, 2005, 3546, p. 436-446
33. Kelkboom, E.J.C., Molina, G.G., Breebaart, J., Veldhuis, R.N.J., Kevenaar, T.A.M., and Jonker, W.: ' Binary biometrics: an analytic framework to estimate the performance curves under Gaussian assumption ', Trans. Syst. Man, Cybern.-Part A: Syst. Humans, 2010, 40, (3), p. 555-571 10.1109/TSMCA.2010. 2041657
34. Rathgeb, C., and Uhl, A.: ' Two-factor authentication or how to potentially counterfeit experimental results in biometric systems ', Proc. Int. Conf. on Image Analysis and Recognition (ICIAR'10), Part II, 2010, p. 296-305, (LNCS 6112)
35. Masek, L.: ' Recognition of human iris patterns for biometric identification ', 2003, Master's, University of Western Australia
36. Ma, L., Tan, T., Wang, Y., and Zhang, D.: ' Efficient iris recogntion by characterizing key local variations ', IEEE Trans. Image Process., 2004, 13, (6), p. 739-750 10.1109/TIP.2004.827237 1057-7149
37. Cavoukian, A., and Stoianov, A.: ' Biometric encryption ', (Encyclopedia of Biometrics, Springer Verlag, 2009)
38. Daugman, J.: ' How iris recognition works ', IEEE Trans. Circiuts Syst. Video Technol., 2004, 14, (1), p. 21-30 10.1109/TCSVT.2003.818350
39. Zuo, J., Ratha, N.K., and Connel, J.H.: ' Cancelable iris biometric ', Proc. 19th Int. Conf. on Pattern Recognition, (ICPR'08), 2008, p. 1-4