Authentication scheme using novel chaff generation method in fuzzy vault

• Autorzy: Singh Mahatim , Shaw Rabi , Sarkar Arpita , Singh Binod Kumar

Identyfikatory

DOI

10.15439/2017R55

• Konferencja: The Second International Conference on Research in Intelligent and Computing in Engineering
• Języki publikacji: EN

Abstrakty

EN

Key Management is the critical issue of a cryptographic system and it requires a better security mechanism. Bio-cryptology provides a strong solution for the said critical issue. Fuzzy vault scheme is a popular scheme to design bio-cryptosystems. Key is secured with the biometric data mixed up with some noise points known as chaff points in a secure storage i.e. vault. Generation of chaff points is the important part of the fuzzy vault system. This work is mainly aims to present an authentication scheme (Key matching) with reducing the complexities of chaff generation. In chaff generation, circle packing, geometrical hashing etc. techniques are used to protect the real data from the noisy data, but these techniques are complex. Here a novel method of chaff generation is used where newly generated chaff point compared with genuine points (stored in a dataset) to assure that it is different, hence genuine points are protected. Experimental results shows that our method have less complexity and performs better than other existent methods.

Słowa kluczowe

EN

key management; cryptographic system; biocryptology; fuzzy vault; chaff generation

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2017
• Tom: Vol. 10
• Strony: 89--92
• Opis fizyczny: Bibliogr. 9 poz., rys., tab., wykr.

Twórcy

autor

Singh Mahatim

• Department of Computer Science & Engineering NIT Jamshedpur

autor

Shaw Rabi

• Department of Computer Science & Engineering NIT Jamshedpur

autor

Sarkar Arpita

• Department of Computer Science & Engineering NIT Jamshedpur

autor

Singh Binod Kumar

• Department of Computer Science & Engineering NIT Jamshedpur

Bibliografia

• 1. A. K. Jain, K. Nandakumar, and A. Ross., "50 Years of Biometric Research: Accomplishments, Challenges, and Opportunities", Pattern Recognition Letters, 2016.
• 2. R. Hooda1 and M. Kaur, "Novel Chaff Generation for Fingerprint Fuzzy Vault ", British Journal of Mathematics & Computer Science, 2015, vol. 10 (3), pp. 1-9,
• 3. T. H. Nguyen, Y. Wang, Y. Ha, and R. Li, “Improved chaff point generation for vault scheme in bio-cryptosystems,” IET Biometrics, 2013, vol. 2, no. 2, pp.48-55.
• 4. Mohammad Khalil-Hani and Rabia Bakhteri, “Securing Cryptographic Key with Fuzzy Vault based on a new Chaff Generation Method” International Conference on High Performance Computing and Simulation (HPCS), 2010, pp. 259-265.
• 5. S. Lee, D. Moon, Y. Chung, “Inserting chaff minutiae for the geometric hashing-based fuzzy fingerprint vault”, Journal of Information Science and Engineering, vol. 25, no. 4, pp. 1177-1190, 2009.
• 6. Jason Jeffers and Arathi Arakala, “Minutiae Based Structures for a Fuzzy Vault,”in Biometric Symposium IEEE, RMIT University, Melbourne, 2006, pp. 1-6.
• 7. K. Nandakumar, A. K.Jain, and S.Pankanti, "Fingerprint-based fuzzy vault: implementation and performance," IEEE Transactions on Information Forensics and Security, Vol. 2, No. 4, December 2007, pp. 744-757.
• 8. S. Prabhakar, S. Pankanti, and A. Jain, “Biometric recognition: Security and privacy concerns,” IEEE Security and Privacy, 2003, Vol. 1, pp. 33-42.
• 9. A. Juels, M. Sudan, “A Fuzzy Vault Scheme”, in IEEE International Symposium on Information Theory, p. 408, 2002.