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http://dx.doi.org/10.7583/JKGS.2015.15.3.177

A Study of Cheater Detection in FPS Game by using User Log Analysis  

Park, Jung Kyu (Graduate School of Information Security, Korea University)
Han, Mee Lan (Graduate School of Information Security, Korea University)
Kim, Huy Kang (Graduate School of Information Security, Korea University)
Publication Information
Journal of Korea Game Society / v.15, no.3, 2015 , pp. 177-188 More about this Journal
Abstract
In-game cheating by the use of unauthorized software programs has always been a big problem that they can damage in First Person Shooting games, although companies operate a variety of client security solutions in order to prevent games from the cheating attempts. This paper proposes a method for detecting cheaters in FPS games by using game log analysis in a server-side. To accomplish this, we did a comparative analysis of characteristics between cheaters and general users focused on commonly loaded logs in the game. We proposed a cheating detection model by using artificial neural network algorithm. In addition, we did the performance evaluation of the proposed model by using the real dataset used in business.
Keywords
Online Game Security; Cheating Detection; Data mining; Log Analysis;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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