Data Security Defense and Algorithm for Edge Computing Based on Mean Field Game

With the development of the Internet of Things,the edge devices are increasing.Cyber security issues in edge computing have also emerged and caused great concern.We propose a defense strategy based on Mean field game to solve the security issues of edge user data during edge computing.Firstly,an individual cost function is formulated to build an edge user data security defense model.Secondly,we research the𝜀𝜀-Nash equilibrium of the individual cost function with finite players and prove the existence of the optimal defense strategy.Finally,by analyzing the stability of edge user data loss,it proves that the proposed defense strategy is effective.