K-medoids-based random biometric pattern for cryptographic key generation

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. © 2009 Springer-Verlag Berlin Heidelberg.