Novel impostors detection in keystroke dynamics by support vector machine

Yingpeng Sang; Hong Shen; Pingzhi Fan

doi:10.1007/978-3-540-30501-9_128

Novel impostors detection in keystroke dynamics by support vector machine

Yingpeng Sang, Hong Shen, Pingzhi Fan

Research output: Contribution to journal › Conference article › peer-review

17 Citations (Scopus)

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.

Original language	English
Pages (from-to)	666-669
Number of pages	4
Journal	Lecture Notes in Computer Science
Volume	3320
DOIs	https://doi.org/10.1007/978-3-540-30501-9_128
Publication status	Published - 2004
Externally published	Yes
Event	5th International Conference, PDCAT 2004 - , Singapore Duration: 8 Dec 2004 → 10 Dec 2004

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10.1007/978-3-540-30501-9_128

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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.",

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AU - Shen, Hong

AU - Fan, Pingzhi

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AB - 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.

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DO - 10.1007/978-3-540-30501-9_128

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SN - 0302-9743

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JF - Lecture Notes in Computer Science

T2 - 5th International Conference, PDCAT 2004

Y2 - 8 December 2004 through 10 December 2004

ER -

Novel impostors detection in keystroke dynamics by support vector machine

Abstract

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