Computer-Access Security Systems Using Keystroke Dynamics
IEEE Transactions on Pattern Analysis and Machine Intelligence
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CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
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IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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MICROW '12 Proceedings of the 2012 45th Annual IEEE/ACM International Symposium on Microarchitecture Workshops
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In this paper we discuss the feasibility of employing keystroke dynamics to perform user verification on mobile phones. Specifically, after having introduced a new statistical classifier, we analyze the discriminative capabilities of the features extracted from the acquired patterns, in order to determine which ones guarantee the best authentication performances. The effectiveness of using template selection techniques for keystroke verification is also investigated. The obtained experimental results indicate that the proposed method can be effectively employed to authenticate mobile phones users, even in operational contexts where the number of enrollment acquisition is kept low.