Applying Bayesian game theory to analyse cyber risks of bank transaction systems

Bayesian game theory is an interesting field within cyber security. Applying it to bank transfer systems can be very useful in finding risks in time and to dynamically adapt to them. It can not only provide insight about the best threat control methods, but also gives insights in how confidential certain core information and actions within the system are. By defining key points for bank transfer systems, an abstract `meta model' is created. Due to the key constraints and the relation with `classic' Bayesian game theory, the validity of the abstract model can be proven for the more specific models.