Abstract: The present invention relates to the detection, classification, and management of collusion in online gaming. Specifically, it relates to detecting collusion in online poker and other games of chance. The present invention may also be used to detect collusion in other types of strategy based online gaming such as first person shooter games. The present invention can then be used to classify and visualize any detected collusion. Finally, the present invention can be used to make recommendations regarding what possible courses of action could be taken, if any, to prevent and/or control collusion.

Abstract: The present invention provides a system and method for detecting collusion in online gaming involving a plurality of players, the method comprising storing game information data and game action data on every action in every game for every player in the online gaming database, performing a player action analysis of correlated actions between a pair of online game players and storing data from the player action analysis in a user action database, employing one or more Bayesian Network graphical models to determine a likelihood of conditional behavior between the pair of online game players, computing individual scores for the Bayesian Network graphical models and comparing the score of a collusional model with that of a non-collusional model.