A Risk Assessment Method of Smart Grid in Cloud Computing Environment Based on Game Theory

With the development of cloud computing technology, future Smart Grid (SG) is expected to have efficient, reliable, secure and cost-effective power management. However, the use of emerging technologies such as virtualization makes existing SG networks face new threats, which have not been considered in traditional network environments. Therefore, in combination with the characteristics of cloud computing, conducting a reasonable and effective security risk assessment of cloud-based SG is of great significance for solving the security issues of SG. Aiming at the problem of constructing the security risk assessment of cloud-based SG, this paper proposes a security game assessment model based on dynamic games from the aspects of confidentiality, integrity and availability of the system using differential game models. The game process between security defense and malicious attackers in cloud-based SG is analyzed. By solving the equilibrium solution of the model, the optimal defense strategy of the SG is analyzed, and the security risk value of the system is obtained. The simulation showed that game model and framework proposed can make risk assessment of nodes more accurate and optimize the defense strategy.