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