A Study on Improved Detection Signature System in Hacking Response of One-Line Games

Chang Seon Lee, Jinho Yoo


Game companies are frequently attacked by attackers while the companies are servicing their own games. This paper analyzes the limit of the Signature detection method, which is a way of detecting hacking modules in online games, and then this paper proposes the Scoring Signature detection scheme to make up for these problems derived from the limits. The Scoring Signature detection scheme enabled us to detect unknown hacking attacks, and this new scheme turned out to have more than twenty times of success than the existing signature detection methods. If we apply this Scoring Signature detection scheme and the existing detection methods at the same time, it seems to minimize the inconvenient situations to collect hacking modules. And also it is expected to greatly reduce the amount of using hacking modules in games which had not been detected yet.

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