Novel impostors detection in keystroke dynamics by support vector machine

Yingpeng Sang, Hong Shen, Pingzhi Fan

Research output: Contribution to journalConference articlepeer-review

17 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)666-669
Number of pages4
JournalLecture Notes in Computer Science
Publication statusPublished - 2004
Externally publishedYes
Event5th International Conference, PDCAT 2004 - , Singapore
Duration: 8 Dec 200410 Dec 2004


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