Title :
Study of Rough Set and Clustering Algorithm in Network Security Management
Author :
Qu Zhiming ; Wang Xiaoli
Author_Institution :
Sch. of Civil Eng., Hebei Univ. of Eng., Handan
Abstract :
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.
Keywords :
computer network management; data mining; decision making; pattern clustering; risk management; rough set theory; telecommunication security; clustering algorithm; computer network security management; data mining; decision-making; feature reduction method; risk management; rough set; Clustering algorithms; Communication system security; Computer network management; Computer security; Data analysis; Data security; Decision making; Information security; National security; Risk management; K-W method; RS; clustering algorithm; network security;
Conference_Titel :
Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC '09. International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-4223-2
DOI :
10.1109/NSWCTC.2009.47
