Capturing Cognitive Fingerprints from Keystroke DynamicsIT Professional
Publication VersionSubmitted Manuscript
AbstractConventional authentication systems identify a user only at the entry point. Keystroke dynamics can continuously authenticate users by their typing rhythms without extra devices. This article presents a new feature called cognitive typing rhythm (CTR) to continuously verify the identities of computer users. Two machine techniques, SVM and KRR, have been developed for the system. The best results from experiments conducted with 1,977 users show a false-rejection rate of 0.7 percent and a false-acceptance rate of 5.5 percent. CTR therefore constitutes a cognitive fingerprint for continuous. Its effectiveness has been verified through a large-scale dataset. This article is part of a special issue on security.
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Citation InformationJ. Morris Chang, Chi-Chen Fang, Kuan-Hsing Ho, Norene Kelly, et al.. "Capturing Cognitive Fingerprints from Keystroke Dynamics" IT Professional Vol. 15 Iss. 4 (2013) p. 24 - 28
Available at: http://works.bepress.com/morris-chang/1/