Non-conventional keystroke dynamics for user authentication

Alsultan, A., Warwick, K. and Wei, H. ORCID: https://orcid.org/0000-0002-9664-5748 (2017) Non-conventional keystroke dynamics for user authentication. Pattern Recognition Letters, 89 (1). pp. 53-59. ISSN 0167-8655 doi: 10.1016/j.patrec.2017.02.010

Abstract/Summary

This paper introduces an approach for user authentication using free-text keystroke dynamics which incorporates the use of non-conventional keystroke features. Semi-timing features along with editing features are extracted from the user’s typing stream. Decision trees were exploited to classify each of the user’s data. In parallel for comparison, support vector machines (SVMs) were also used for classification in association with an ant colony optimization (ACO) feature selection technique. The results obtained from this study are encouraging as low false accept rates (FAR) and false reject rates (FRR) were achieved in the experimentation phase. This signifies that satisfactory overall system performance was achieved by using the typing attributes in the proposed approach. Thus, the use of non-conventional typing features improves the understanding of human typing behavior and therefore, provides significant contribution to the authentication system.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/69210
Identification Number/DOI	10.1016/j.patrec.2017.02.010
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
Publisher	Elsevier
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