Security Analysis of Multimodal Biometric Fuzzy Vault
Crypto biometric systems are authentication systems where the concept of biometric authentication is blended with cryptography. Crypto-biometric systems utilize the advantages of biometrics over traditional password based authentication. This paper uses the idea of fuzzy vault cryptographic constructs to protect crucial data like secret encryption key. Fuzzy vault is a proven emerging technology for providing biometric template security. This work constructs two independent fingerprint and iris vaults and a combined multimodal biometric vault. The proposed multimodal biometric fuzzy vault uses the features extracted from both finger print and iris for ensuring high security of the critical data and the biometric template. It is comparatively difficult for an attacker to compromise multi modal biometric fuzzy vault system than single biometric fuzzy vault systems. This work measures the security of the constructed fuzzy vault by means of min-entropy.
Umat uludag, sharath pankanti, Anil. K.Jain “Fuzzy vault for fingerprints”, Proceedings of International conference on Audio video based person authentication, 2005.
A. Juels and M.Sudan, “A fuzzy vault scheme”, Proceedings of IEEE International symposium Information Theory, 2002.
E.Srinivasa Reddy, I. Ramesh Babu, “Performance of Iris Based Hard Fuzzy Vault”, Proceedings of IEEE 8th International conference on computers and Information technology workshops, 2008
U.Uludag, S. Pankanti, S.Prabhakar, and A.K.Jain, “Biometric Cryptosystems: issues and challenges, Proceedings of the IEEE ,June 2004.
Karthik Nandakumar, Abhishek Nagar and Anil K.Jain, “Hardening Fingerprint Fuzzy Vault using Password”, International conference on Biometrics, 2007.
Karthick Nandakumar, Sharath Pankanti, Anil K. Jain, “Fingerprint-based Fuzzy Vault Implementation and Performance”, IEEE Transacations on Information Forensics and Security, December 2007.
AbhishekNagar, Karthik NandaKumar, Anil K. Jain,”Hardening Fingerprint Fuzzy Vault Using password”, Proceedings of International Conference on Biometrics, 2007.
K.NandaKumar, “Multibiometric Systems: Fusion Strategies and Template Security”, PhD Thesis, Department of Computer Science and Engineering, Michigan State University, January 2008.
Sharat Chikkarur, Chaohang Wu, Venu Govindaraju, “A systematic Approach for feature Extraction in Fingerprint images”, Center for Unified Biometrics and Sensors(CUBS), university at Buffalo, NY,USA.
A. K. Jain, A. Ross, and S. Pankanti, “Biometrics: A Tool for Information Security,” IEEE Transactions on Information Forensics and Security, vol. 1, no. 2, pp. 125–143, June 2006.
A. K. Jain, A. Ross, and U. Uludag, “Biometric Template Security: Challenges and Solutions,” in Proceedings of European Signal Processing Conference (EUSIPCO), Antalya, Turkey,September 2005.
Anil K.Jain, Karthik Nanda Kumar and Abhishek Nagar, “Biometric Template Security” EURASIP Journal on Advance in Signal Processing, special issue on Biometrics, January 2008.
Ratha, N.K., J.H. Connell, and R.M. Bolle, “Enhancing security and privacy in biometrics-based authentication systems”, IBM Systems Journal, vol. 40, no. 3.
Jain, Anil K. Jain and Arun Ross, “Multibiometric systems,” Communications of the ACM,” January 2004, Volume 47, Number 1 (2004).
A.K. Jain and A. Ross, “Learning User-specific parameters in a Multibiometric System”, Proc. IEEE International Conference on Image Processing(ICIP), Rochester, New York, September 22 – 25, 2002, pp. 57 – 60.
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