A game theory based optimal allocation strategy for defense resources of smart grid under cyber-attack

Abstract

A deep integration of cyber and physical systems will lead to severe risk and security challenges in the new power system. To address this problem, an optimal defense resource allocation method based on game theory is proposed to against potential cyber-attacks in smart grid proactively. Based on this method, a two-layer game model is designed to optimal resource allocation. One layer is consisted by an evolutionary game between defense nodes and attackers, and the anther layer is consisted by a noncooperative game between multiple defense nodes. Further up, the offensive and defensive evolution results for all scenarios have been discussed, then the solution to resource allocation problem among multiple nodes is formulated. Different from previous work, characteristics of the bounded rationality of the attacker are considered according to the indexes of integrity, usability and confidentiality. Meanwhile, quantum response equalization is introduced to quantify player gains. Finally, specific algorithms are employed to demonstrate the feasibility and effectiveness of the method proposed in this paper.