Attack path prediction based on Bayesian game model

The current network risk assessment model often ignores the impact of attack cost and intrusion intention on security. In order to better solve problem information security defense strategy selection accurately assess target risk, this paper proposes an path prediction method based game model.The atomic probability is calculated by vulnerability value, benefit. static established combined with Bayesian belief quantitative graph. And dynamic update used realize effective action under rational assumption, which provides basis for measures surface. experimental results verify feasibility effectiveness method.