A game theory based cybersecurity assessment model for advanced manufacturing systems
Alireza Zarreh, Can Saygin, Hung-da Wan, Yooneun Lee, Alejandro Bracho · Procedia Manufacturing · 2018
This paper presents a method to create and solve a game theory model to address cybersecurity issues specifically for advanced manufacturing systems with high-level computer-controlled integration. This method introduces a unique approach to defining the contents of the game payoff matrix by incorporating maintaining of defense strategies, production losses, and recovery from attacks as part of a cost function that effectively represents the reality in the manufacturing systems domain. Once the cost function is developed to define the payoff matrix, the game is run for all possible combinations to find the best possible combination of the strategies. Finally, a case study is presented to illustrate the application. The proposed method can be applied to different domains, other than automated manufacturing systems, by customizing cost components in the utility function.