The game industry has developed rapidly in recent years. Games are no longer limited to entertainment and have been developed to a professional occupation. At the same time, the development of cheating technology is harmful to the development of the game industry. We propose a game cheating detection model based on workflow nets. The cheating behavior is modeled by the workflow net, and the workflow nets are transformed into process trees. The merged model can be used to recognize varied types of cheating behavior efficiently.

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