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Proceedings Paper

Use of behavioral biometrics in intrusion detection and online gaming
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Paper Abstract

Behavior based intrusion detection is a frequently used approach for insuring network security. We expend behavior based intrusion detection approach to a new domain of game networks. Specifically, our research shows that a unique behavioral biometric can be generated based on the strategy used by an individual to play a game. We wrote software capable of automatically extracting behavioral profiles for each player in a game of Poker. Once a behavioral signature is generated for a player, it is continuously compared against player's current actions. Any significant deviations in behavior are reported to the game server administrator as potential security breaches. Our algorithm addresses a well-known problem of user verification and can be re-applied to the fields beyond game networks, such as operating systems and non-game networks security.

Paper Details

Date Published: 17 April 2006
PDF: 10 pages
Proc. SPIE 6202, Biometric Technology for Human Identification III, 62020U (17 April 2006); doi: 10.1117/12.665082
Show Author Affiliations
Roman V. Yampolskiy, Univ. at Buffalo/SUNY (United States)
Venu Govindaraju, Univ. at Buffalo/SUNY (United States)


Published in SPIE Proceedings Vol. 6202:
Biometric Technology for Human Identification III
Patrick J. Flynn; Sharath Pankanti, Editor(s)

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