Dynamic Perception Method of Cyberspace Security Situation Based on Backfill Algorithm
The dynamic perception method of cyberspace security situation based on backfill algorithm is proposed to improve the level of cyberspace security.In the backfill algorithm,the earliest deadline priority algorithm and the maximum weight priority algorithm are introduced to improve the resource utilization.The modified chimpanzee al-gorithm is used to optimize the weight of the backfill algorithm,so as to allocate resources for the security situation dynamic awareness task in cyberspace.Taking the assigned security situation dynamic perception task resources as data samples,the results of security situation dynamic perception in cyberspace are output by generalized radial ba-sis function neural network.The experimental results show that this method can effectively reduce the deadline error rate of resource allocation for security situation dynamic awareness tasks and improve the utilization rate of network resources.Under different types of network attacks,this method can effectively dynamically perceive the security situation of network space.Under different network attack traffic,the average relative error of this method is lower.