Novel impostors detection in keystroke dynamics by support vector machine

Authors:
Yingpeng Sang;Hong Shen;Pingzhi Fan
Affiliations:
School of Information Science, Japan Advanced Institute of Science and Technology, Ishikawa, Japan;School of Information Science, Japan Advanced Institute of Science and Technology, Ishikawa, Japan;School of Computer and Communications Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China
Venue:
PDCAT'04 Proceedings of the 5th international conference on Parallel and Distributed Computing: applications and Technologies
Year:
2004

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Abstract

To detect the novel impostors whose data patterns have never been learned previously in keystroke dynamics, two solutions are proposed in this paper. Unlike most other research in keystroke dynamics, this paper surveys the performance tradeoff and time consumption, which are valuable for practical implementation, of the solutions. Besides, it is our intention to attempt verifying computer users’ identities based on pure numeric password which is more difficult than verification of any other kinds of passwords.