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http://dx.doi.org/10.13089/JKIISC.2015.25.6.1465

A research on improving client based detection feature by using server log analysis in FPS games  

Kim, Seon Min (Graduate School of Information Security, Korea University)
Kim, Huy Kang (Graduate School of Information Security, Korea University)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.25, no.6, 2015 , pp. 1465-1475 More about this Journal
Abstract
Cheating detection models in the online games can be divided into two parts. The one is on client based model, which is designed to detect malicious programs not to be run while playing the games. The other one is server based model, which distinguishes the difference between benign users and cheaters by the server log analysis. The client based model provides various features to prevent games from cheating, For instance, Anti-reversing, memory manipulation and so on. However, being deployed and operated on the client side is a huge weak point as cheaters can analyze and bypass the detection features. That Is why the server based model is an emerging way to detect cheating users in online games. But the simple log data such as FPS's one can be hard to find validate difference between two of them. In this paper, In order to compensate for the disadvantages of the two detection model above, We use the existing game security solution log as well as the server one to bring high performance as well as detection ratio compared to the existing detection models in the market.
Keywords
Online game security solution; FPS Online game security; FPS Server log analysis;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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