An evolutionary keystroke authentication based on ellipsoidal hypothesis space
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Fuzzy and Markov models for keystroke biometrics authentication
SMO'07 Proceedings of the 7th WSEAS International Conference on Simulation, Modelling and Optimization
Secure Biometric Authentication with Improved Accuracy
ACISP '08 Proceedings of the 13th Australasian conference on Information Security and Privacy
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In this article, we present three methods for the keystroke dynamic authentication problem. We use in the first method, the average and the standard deviation, in the second the rhythm of striking and in the third, a comparison of the times order. After having presented these methods, we propose to realize a fusion of them. The results obtained indicate good performance of each method alone, as well as a significant improvement of performance with fusion, from 3.43% of EER for the best method alone down-to 1.8% with fusion.