Active Defense strategies selection for network mixed malicious action
Yongqiang Chen, Xiaoping Wu, Yu Ping Fu · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2013
In order to deal with the problems that defense measures are not been take into accounted and the return of the unit cost in network security analysis, a active defense strategies selection method for network mixed malicious actions was proposed.Firstly, a network security mixed game model was presented combined with the actual situation that the utility of the players are not equal.Premise in the classification of the mixed confront scenes, the utility function was proposed with the return of the unit cost.Then, the network mixed defense strategy selection algorithm was given and the best strategy for defender was obtained by analyzing the Nash equilibrium of the game model.Finally, a representative example is given to illustrate the efficacy and feasibility of the method on malicious actions prediction and active defense strategy selection.