DocumentCode :
3347359
Title :
An Anomaly Detection System Based on Dendritic Cell Algorithm
Author :
Chen, Guo ; Shuo, Peng ; Rong, Jiang ; Chao, Luo
Author_Institution :
Coll. of Inf. Sci. & Media, JingGangShan Univ., Jian, China
fYear :
2009
fDate :
14-17 Oct. 2009
Firstpage :
192
Lastpage :
195
Abstract :
Dendritic cell(DC) is a kind of natural immunocyte, and also is a kind of typical antigen presenting cell, which can stimulate and inhibit immune system. The function of the dendritic cell in the human body can be abstractly extracted as an dendritic cell algorithm(DCA). In this paper we try to extract a new immune algorithm based on the dendritic cell. Through the simulation experiment, an new anomaly detection based on DCA shows more advantages, compared with the conventional anomaly detections.
Keywords :
artificial immune systems; security of data; anomaly detection; antigen; dendritic cell algorithm; immune algorithm; immunocyte; Cells (biology); Chaos; Data mining; Educational institutions; Genetics; Immune system; Information science; Intrusion detection; Lymph nodes; Pathogens; AIS; DCA; DCS; anomaly detection system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-0-7695-3899-0
Type :
conf
DOI :
10.1109/WGEC.2009.129
Filename :
5402915
Link To Document :
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