Title :
Research on Detector Generating Algorithm Based on Artificial Immune
Author :
Liu Zhen ; Xu Su ; Li Jun
Author_Institution :
Coll. of Comput. & Inf., Nanchang Univ., Nanchang, China
Abstract :
The key of intrusion detection system based on artificial immune is generating the Detector set. To generate highly efficient one, we adopt the mutated Nonself-body set to generate candidate detectors and variable threshold R- continues bits matching rule to reduce the number of hole in mature detector, increase the tolerance of the candidate detector and the detector set, to result in mismatch detectors and increase detect ability. Theoretical analysis and experimental results show that the improved algorithm is effective and feasible.
Keywords :
artificial immune systems; computer network security; artificial immune; candidate detectors; detector generating algorithm; intrusion detection system; mature detector; mismatch detectors; mutated nonself-body set; variable threshold R-continues bits matching rule; Algorithm design and analysis; Computers; Detectors; Immune system; Intrusion detection; Pattern matching; Artificial Immunity; Hole; Intrusion Detection; Negative Algorithm; R- Continues bits Matching Rule;
Conference_Titel :
Multimedia Information Networking and Security (MINES), 2010 International Conference on
Conference_Location :
Nanjing, Jiangsu
Print_ISBN :
978-1-4244-8626-7
Electronic_ISBN :
978-0-7695-4258-4
DOI :
10.1109/MINES.2010.101
