Capturing Cognitive Fingerprints from Keystroke Dynamics

Date
2013-07-01
Authors
Chu, Chris Chong-Nuen
Gilbert, Stephen
Chang, J.
Fang, Chi-Chen
Ho, Kuan-Hsing
Kelly, Norene
Wu, Pei-Yuan
Ding, Yixiao
Chu, Chris
Chang, Morris
Gilbert, Stephen
Kamal, Amed
Kung, Sun-Yuan
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Altmetrics
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Virtual Reality Applications CenterElectrical and Computer EngineeringPsychologyIndustrial and Manufacturing Systems EngineeringVirtual Reality Applications Center
Abstract

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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This is a manuscript of an article published as Chang, J. Morris, Chi-Chen Fang, Kuan-Hsing Ho, Norene Kelly, Pei-Yuan Wu, Yixiao Ding, Chris Chu, Stephen Gilbert, Amed E. Kamal, and Sun-Yuan Kung. "Capturing cognitive fingerprints from keystroke dynamics." IT Professional 15, no. 4 (2013): 24-28. DOI: 10.1109/MITP.2013.52. Posted with permission.

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