2010Unpublished venueRequires access

Research on the Collusion Problem for MMOG

Xiangbin Shi, Ying Wang, Fang Liu, Xiaoxue Zhou

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Abstract

This paper puts forward a kind of detecting method of collusion suitable for MMOG. Through the analysis of the collusion behavior by sociology, it is known that participates in collusion exist abnormal behavior and abnormal relations between earning and losses. Firstly, the behavior patterns library is established for the players, and it is applied to detect their abnormal behavior. Simultaneously, the players'relations between earning and losses are described by statistics to detecte the abnomal relation. At last ,the probability of collusion among abnomal players is calculated by theory of evidence. The experiment results show that this method can accurately detect collusion, and collusion behavior would been restrained.

About this research paper

What this paper is about

This paper puts forward a kind of detecting method of collusion suitable for MMOG. Through the analysis of the collusion behavior by sociology, it is known that participates in collusion exist abnormal behavior and abnormal relations between earning and losses. Firstly, the behavior patterns library is established for the players, and it is applied to detect their abnormal behavior. Simultaneously, the players'relations between earning and losses are described by statistics to detecte the abnomal relation. At last ,the probability of collusion among abnomal players is calculated by theory of evidence. The experiment results show that this method can accurately detect collusion, and collusion behavior would been restrained.

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Available abstract

This paper puts forward a kind of detecting method of collusion suitable for MMOG. Through the analysis of the collusion behavior by sociology, it is known that participates in collusion exist abnormal behavior and abnormal relations between earning and losses. Firstly, the behavior patterns library is established for the players, and it is applied to detect their abnormal behavior. Simultaneously, the players'relations between earning and losses are described by statistics to detecte the abnomal relation. At last ,the probability of collusion among abnomal players is calculated by theory of evidence. The experiment results show that this method can accurately detect collusion, and collusion behavior would been restrained.

Key concepts: Collusion, Relation (database), Computer science, Computer security, Econometrics, Microeconomics, Data mining, Economics

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