Abstract
Irrevocability is one major issue in existing bio-cryptosystems. In this paper, we proposed a cancellable bio-cryptosystem by taking the full advantage of cancellable and non-invertible properties of bio-hashing biometrics. Specifically, two transformed templates are generated by using the bio-hashing algorithm and applied into two different secure sketches, fuzzy commitment sketch and fuzzy vault sketch, respectively. These two secure sketches can be fused in two different ways: AND fusion and OR fusion, so as to emphasis either on the recognition accuracy or the security level of the system. Experimental results and security analysis show the validity of the proposed scheme.
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References
Mulyono, D., Jinn, H.S.: A study of finger vein biometric for personal identification. In: International Symposium on Biometrics and Security Technologies, ISBAST 2008, pp. 1–8. IEEE (2008)
Hu, J.: Mobile fingerprint template protection: progress and open issues. In: 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008, pp. 2133–2138. IEEE (2008)
Dodis, Y., Ostrovsky, R., Reyzin, L., Smith, A.: Fuzzy extractors: How to generate strong keys from biometrics and other noisy data. SIAM Journal on Computing 38, 97–139 (2008)
Ahmad, T., Hu, J., Wang, S.: Pair-polar coordinate-based cancelable fingerprint templates. Pattern Recogn. 44, 2555–2564 (2011)
Zhang, P., Hu, J., Li, C., Bennamoun, M., Bhagavatula, V.: A pitfall in fingerprint bio-cryptographic key generation. Computers & Security 30, 311–319 (2011)
Wang, S., Hu, J.: Alignment-free cancellable fingerprint template design: a densely infinite-to-one mapping (DITOM) approach. Pattern Recogn. (2012)
Ratha, N.K., Connell, J.H., Bolle, R.M.: Enhancing security and privacy in biometrics-based authentication systems. IBM Systems Journal 40, 614–634 (2001)
Xi, K., Ahmad, T., Han, F., Hu, J.: A fingerprint based bio-cryptographic security protocol designed for client/server authentication in mobile computing environment. Security and Communication Networks 4, 487–499 (2011)
Yang, W., Hu, J., Wang, S.: A Delaunay Triangle-Based Fuzzy Extractor for Fingerprint Authentication. In: 2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), pp. 66–70. IEEE (2012)
Jin, A.T.B., Ling, D.N.C., Goh, A.: Biohashing: two factor authentication featuring fingerprint data and tokenised random number. Pattern Recogn. 37, 2245–2255 (2004)
Vitomir, Š., Nikola, P.: The complete gabor-fisher classifier for robust face recognition. EURASIP Journal on Advances in Signal Processing (2010)
Yin, Y., Liu, L., Sun, X.: SDUMLA-HMT: a multimodal biometric database. Biometric Recognition, 260–268 (2011)
MacWilliams, F., Sloane, N.: The theory of error-correcting codes (2006)
Wang, Y., Hu, J., Phillips, D.: A fingerprint orientation model based on 2D Fourier expansion (FOMFE) and its application to singular-point detection and fingerprint indexing. IEEE Transactions on Pattern Analysis and Machine Intelligence 29, 573–585 (2007)
Wang, Y., Hu, J.: Global Ridge Orientation modelling for Partial Fingerprint Identification. IEEE Transactions on Pattern Analysis and Machine Intelligence 33, 16 (2011)
Xi, K., Hu, J., Han, F.: Mobile device access control: an improved correlation based face authentication scheme and its Java ME application. Concurrency and Computation: Practice and Experience 24, 1066–1085 (2012)
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Yang, W., Hu, J., Wang, S. (2013). A Finger-Vein Based Cancellable Bio-cryptosystem. In: Lopez, J., Huang, X., Sandhu, R. (eds) Network and System Security. NSS 2013. Lecture Notes in Computer Science, vol 7873. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38631-2_71
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DOI: https://doi.org/10.1007/978-3-642-38631-2_71
Publisher Name: Springer, Berlin, Heidelberg
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