Research on Network Security Assurance Technology for Counter-terrorism Training Based on Attack Graph

At present, network security is becoming increasingly complex and changeable, and it is difficult for anti-terrorism training system to fully resist all kinds of network attacks, which makes it face a wide range of security risks. This paper mainly introduces a defense technology based on attack graph to meet the network security challenges faced by anti-terrorism training system. By developing an attack graph model for these systems' networks, this study systematically identifies potential security threat paths, and uses key indicators such as node threat level and attack path length to evaluate network security risks. On this basis, a dynamic defense mechanism is proposed to optimize network security protection. The experimental results show that this method can effectively predict the attack path, detect malicious activities in time, and significantly improve the active defense capability and overall security of the anti-terrorism training system network.