DocumentCode
3393217
Title
A method to construct self set for IDS based on negative selection algorithm
Author
Qi Jin ; Ma Ming
Author_Institution
Inf. Manage. Center, BeiHua Univ., Jilin, China
fYear
2011
fDate
19-22 Aug. 2011
Firstpage
1051
Lastpage
1053
Abstract
This paper presents a method of constructing the self set of the intrusion detection system which based on the immune algorithm. It combined the niche technology into the clonal selection algorithm to construct the self set. Keep the diversity of the data of the self set. Comparing with the traditional methods which use a priori knowledge and random selection, the new method can reflect more characteristics of the normal network data.
Keywords
artificial immune systems; security of data; IDS; a priori knowledge; clonal selection algorithm; immune algorithm; intrusion detection system; negative selection algorithm; niche technology; random selection; self set construction; Algorithm design and analysis; Cloning; Detectors; Evolution (biology); Genetic algorithms; Hamming distance; Intrusion detection; Immune algorithm; negative selection algorithm; niche clonal selection algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
Conference_Location
Jilin
Print_ISBN
978-1-61284-719-1
Type
conf
DOI
10.1109/MEC.2011.6025646
Filename
6025646
Link To Document