An Intrusive Intention Recognition Model Based on Network Security States Graph

Intrusive intention is the high level goal of an attacker that he want to achieve. To identify the real intentions of an attacker can support decision-making of the network security administrator. In this paper a method based on network security states graph to recognize intrusive intention is presented. Algorithms of intention recognition and threat assessment offer a way to assess the network security situation. Feasibility and validity of this method are proved from the experiments.