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.
Text
An enhanced distance metric for keystroke dynamics classification.pdf
Download (588kB) | Preview
An enhanced distance metric for keystroke dynamics classification.pdf
Download (588kB) | Preview
Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....
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 |