Capturing cognitive fingerprints from keystroke dynamics

J. Morris Chang, Chi Chen Fang, Kuan Hsing Ho, Norene Kelly, Pei Yuan Wu, Yixiao Ding, Chris Chu, Stephen Gilbert, Amed E. Kamal, Sun-Yuan Kung

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

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.

Original languageEnglish (US)
Article number6544526
Pages (from-to)24-28
Number of pages5
JournalIT Professional
Volume15
Issue number4
DOIs
StatePublished - Sep 5 2013

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Science Applications

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