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
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;
Conference_Titel :
Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
Conference_Location :
Jilin
Print_ISBN :
978-1-61284-719-1
DOI :
10.1109/MEC.2011.6025646
