DocumentCode
2676123
Title
Network Intrusion Rules Extraction Based on Rough Set and Niche Genetic Algorithm
Author
Changqiong, Shi ; Dawei, Wang ; Hui, Huang ; Dafang Zhang
Author_Institution
Coll. of Comput. & Commun., Hunan Univ., Changsha
fYear
2008
fDate
3-5 Aug. 2008
Firstpage
476
Lastpage
481
Abstract
A method of network intrusion rules extraction based on rough set and niche genetic algorithm is proposed in this paper. This method deals with original data by rough sets for acquiring decisive rules and those can be chosen for the initial group of niche genetic algorithm aimed at acquiring wider coverage range and higher reliability rules by revolution.
Keywords
genetic algorithms; rough set theory; security of data; network intrusion rules extraction; niche genetic algorithm; reliability rules; rough set; Biological cells; Blindness; Computer networks; Data mining; Decision making; Educational institutions; Genetic algorithms; Intrusion detection; Rough sets; Set theory; Network Intrusion; Niche; Rough sets; Rules Extraction;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Commerce and Security, 2008 International Symposium on
Conference_Location
Guangzhou City
Print_ISBN
978-0-7695-3258-5
Type
conf
DOI
10.1109/ISECS.2008.172
Filename
4606111
Link To Document