Electrical and Computer Engineering, Industrial and Manufacturing Systems Engineering, Virtual Reality Applications Center, Human Computer Interaction, Education, School of
Journal or Book Title
Conventional 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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Chang, J. Morris; Fang, Chi-Chen; Ho, Kuan-Hsing; Kelly, Norene; Wu, Pei-Yuan; Ding, Yixiao; Chu, Chris; Gilbert, Stephen B.; Kamal, Amed E.; and Kung, Sun-Yuan, "Capturing Cognitive Fingerprints from Keystroke Dynamics" (2013). Industrial and Manufacturing Systems Engineering Publications. 131.