PARTICLE SWARM OPTIMIZATION THREAT VALUE OF ATTACK ALGORITHM (PSO-TVA) FOR NETWORK SECURITY

Abstract

To assess the security situation of hierarchical network, a particle swarm optimization algorithm in light of the method of building a security hazard work is proposed. To work with going to proactive lengths to decrease the harm level of network security occasions model takes care of the security assessment issue for hierarchical network just and productively. This paper plans a hierarchical security situation evaluation method in light of the attributes of attack diagram engineering and the security occasions in the attack chart information plane. Then, at that point, the situation evaluation results are broke down, and the relationship in time arrangement is tapped. Then, at that point, a security situation prediction model in view of Particle Swarm Optimization Threat Value of Attack algorithm (PSO-TVA) is proposed to understand the security situation prediction for the attack chart information plane. The reproduction results show that the prediction model has higher prediction accuracy on the test set and is feasible in practical applications.