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|Title:||Novel impostors detection in keystroke dynamics by support vector machine|
|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.|
|Series/Report no.:||Lecture notes in computer science ; 3320/2005|
|Conference Name:||International Conference on Parallel and Distributed Computing, Applications and Technologies (5th : 2004 : Singapore)|
|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|
|Appears in Collections:||Computer Science publications|
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