Complex Network Security Analysis Based on Attack Graph Model

Today´s computer systems face lots of challenges in the fast rate of emerging security problems. To accurately assess the security of computer network systems, one must understand how vulnerabilities can be combined to stage an attack. Attack graphs are important tools for analyzing security vulnerabilities in enterprise networks. However, the complexity of traditional method for generating attack graphs increases dramatically as the network size grows. To solve this problem, the efficiency of attack graph generation method must be improved. Based on the analysis of generation approaches to attack graphs, an attack graph generation method for complex network is proposed in this paper. In this method, the network framework and key nodes can be analyzed and searched by loopholes scanning firstly. Then, starting from these key nodes, the algorithm which combined greedy policy, forward exploration and backward searching is used to generate the attack graph. Experimental results prove that the model can make a comprehensive analysis on network security and research the estimation of network attack.