An ensemble fuzzy logic approach to game bot detection through behavioural features

On line games market is vastly growth in the last years thanks to the diffusion of innovative and performant platforms. Game players can be involved in always more convincing environment where they compete, collaborate and change information with other players. This allows game developers to invest a huge amount of resources to ensure game player safeness and satisfaction. According to this, an increasing interest is pointed towards the study of a new approach for the game bots detection since game bots are used by cheater players to obtain personal advantages with a consequent disappointment and reduction of the game appealing. This paper describes an ensemble Fuzzy Logic approach aiming to discriminate between human players and game bots using a set of features describing their behavior in the game environment. The evaluation is performed on a real on-line role player game and gives effective results.