基于叠加风险邻接矩阵的主机风险评估方法

raditional host risk assessment methods exploit the easiest attack path to compute the risk values of hosts. However these methods merely analyze the most severe risks that hosts face with.To solve this problem, we propose a maximum host risk assessment method based on the attack graph and adjacency matrix.This method combines the superposition maximum probability adjacency matrix and the single-step maximum risk adjacency matrix, and evaluates the maximum risk value that attackers may impact the target hosts.Simulation results show that the proposed method can obtain more comprehensive and accurate assessments and globally analyze the vulnerabilities of networks.