Study of Rough Set and Clustering Algorithm in Network Security Management

Getting a better grasp of computer network security is of great significance to protect the normal operation of network system. Based on rough set (RS), clustering model, security features reduction and clustering algorithm are presented, which provides a basis of network security strategies. Further research is to mine and process the dynamic risks and management of network security. Using the reduction methods, the simplified network security assessment data set is established. The extraction by the decision-making rules is proposed and verified. Through the results, it is concluded that the method could be in line with the actual situation of decision-making rules.