Optimal resource allocation in cyber warfare with a game theory approach in uncertain environment

Increasing confidence in information and communication technology has dramatically changed the definition of security and the nature of war. Many important infrastructures, such as banks, airports, information systems, research centers, power plants, hospitals, telecommunication centers, oil pipelines, etc., are potentially vulnerable to cyberattacks. Game theory has provided a rich set of mathematical tools for modeling and analyzing strategic interactions between attackers and defenders in cyber warfare, which can be used as a fundamental and accurate theoretical basis for deciding in the most challenging war situations to select the optimal strategy. In this paper, the challenging propblem of optimal resource allocation in cyber warfare with uncertain information in cyber warfare is formulated by game theory as a uncertain mixed-integer quadratic programming model and it is investigated with limited belief degree and conditional value at risk criterions.