Network Security Assessment based on Fuzzy Sets and Rough Sets

Network security is a complex system engineering, which involves computer, telecommunication, physics, math, biology, management, social and many other fields. In this paper, a model of network security assessment based on fuzzy sets and rough sets is presented. The fuzzy sets and the rough sets are combined into find out the association rules in network security. The connection degree in set pair analysis is applied into rough sets. The data are done fuzzy clustering firstly and then the assessment rules in network security are extracted based on fuzzy sets and rough sets. The decision rules mining method presented in this paper is validated with a simplified network security assessment data set. The experiment results show that decision rules acquired by the method are effective and valuable in network security assessment.