Network attack-defense strategy based on rough Bayesian game
Guangqiu Huang · Journal of Computer Applications · 2011
To solve the problem in attack-defense strategy research of complex network,an analysis method based on rough Bayesian game was proposed.By introducing rough set theory into object Petri net,the authors defined Attack-Defense Confrontation Model(A-DCM),which divided domain strategy set into equivalence class and accordingly put forward the characteristic strategy set.Rough Attack-Defense Game Model(RA-DGM) and utility function were presented,and the Bayesian equilibrium solution algorithm was given,so that the maximal attack-defense strategy set could be acquired.The analysis method was suitable for attack and defense research of complex network,which could reduce strategy space scale effectively.The experimental results verify the correctness and performance of the model,and demonstrate that the attack-defense strategy analysis method based on the model is more reasonable and effective.