K-Medoids-Based Random Biometric Pattern for Cryptographic Key Generation

Authors:
H. A. Garcia-Baleon;V. Alarcon-Aquino;O. Starostenko
Affiliations:
Deparment of Computing, Electronics, and Mecatronics, Universidad de las Americas Puebla, Cholula, Puebla, Mexico 72820;Deparment of Computing, Electronics, and Mecatronics, Universidad de las Americas Puebla, Cholula, Puebla, Mexico 72820;Deparment of Computing, Electronics, and Mecatronics, Universidad de las Americas Puebla, Cholula, Puebla, Mexico 72820
Venue:
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Year:
2009

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Abstract

In this paper we report an approach for cryptographic key generation based on keystroke dynamics and the k-medoids algorithm. The stages that comprise the approach are training-enrollment and user verification. The proposed approach is able to verify the identity of individuals off-line avoiding the use of a centralized database. The performance of the proposed approach is assessed using 20 samples of keystroke dynamics from 20 different users. Simulation results show a false acceptance rate (FAR) of 5.26% and a false rejection rate (FRR) of 10%. The cryptographic key released by the proposed approach may be used in several encryption algorithms.