A Security Evaluation Method for Complex Computer Networks Based on GABP Algorithm

This paper proposes a security evaluation method for complex computer networks based on the GABP (Genetic Algorithm and Back Propagation) algorithm. This method first constructs a network topology model based on information such as network topology, network protocol and security policy, and converts it into a fitness function. Then use GABP algorithm to optimize the fitness function and get the optimal solution. Then, the optimal solution is used to evaluate network security, including security assessment and risk assessment. The experimental results show that this method can effectively evaluate the security of the network, improve the security of the network, and reduce the evaluation time and cost.