Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/57552
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Type: Conference paper
Title: Novel impostors detection in keystroke dynamics by support vector machine
Author: Sang, Y.
Shen, H.
Fan, P.
Citation: Parallel and Distributed Computing: Applications and Technologies: 5th International Conference, PDCAT 2004, Singapore, December 8-10, 2004. Proceedings / Kim-Meow Liew, Hong Shen, Simon See, Wentong Cai, Pingzhi Fan and Susumu Horiguchi (eds.): pp.666-669.
Publisher: Springer Berlin
Publisher Place: Heidelberg
Issue Date: 2005
Series/Report no.: Lecture notes in computer science ; 3320/2005
ISBN: 9783540240136
ISSN: 0302-9743
1611-3349
Conference Name: International Conference on Parallel and Distributed Computing, Applications and Technologies (5th : 2004 : Singapore)
Statement of
Responsibility: 
Yingpeng Sang, Hong Shen and Pingzhi Fan
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.
Description: © Springer-Verlag Berlin Heidelberg 2004
RMID: 0020095935
DOI: 10.1007/978-3-540-30501-9_128
Appears in Collections:Computer Science publications

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