Global threats of terrorism, drug-smuggling, and other crimes cause to increase the need to deploy limited security resources to maximize their effectiveness. Prediction of future actions and reviewing all the possible strategies of the attackers has a great influence on the success in the battle. Game theory is one of the techniques of futures studies. This paper examines security games in a fuzzy environment. The security games consider encounter model of a defender and several types of attackers. The aim of this paper was providing a method to compute optimal strategy of defender in the conditions of uncertainty. Modeling security threats of centers of public transportation was described. The Bayesian approach was used to solve the uncertainty of encounter a defender with unknown attacker type, and fuzzy theory was used to resolve the uncertainty issue due to ambiguity in understanding the experts and their inadequate judgment. After presenting the model, the problem was written as crisp using α-cuts of fuzzy numbers. Finally, the obtained model was reviewed and its role in the future studies of security threats was addressed, and the validity of the proposed method for an applied sample was examined.