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An enhanced distance metric for keystroke dynamics classification

Ngoc, H.N. and Nguyen, N.T. (2016) An enhanced distance metric for keystroke dynamics classification. In: 8th International Conference on Knowledge and Systems Engineering, KSE 2016, 6 October 2016 through 8 October 2016.

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Abstract

In this paper, the relationship between the distance metrics and the data model was analyzed and a new algorithm for keystroke dynamics classification was proposed. The results of the experiments on the CMU and GREYC keystroke dynamics benchmark and mobile devices datasets were evaluated. The classifiers using the proposed algorithm outperform existing top performing keystroke dynamics classifiers which use traditional approaches. © 2016 IEEE.

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculties > Faculty of Information Technology
Identification Number: 10.1109/KSE.2016.7758068
Uncontrolled Keywords: Authentication; Identification (control systems); Security of data; Systems engineering; Bio-password; Distance metrics; Keystroke dynamics; Traditional approaches; Dynamics
Additional Information: Conference code: 125115. Language of original document: English.
URI: http://eprints.lqdtu.edu.vn/id/eprint/9785

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