DocumentCode :
2564868
Title :
Study of an Adaptive Immune Detection Algorithm for Anomaly Detection
Author :
Zhang, Ya-jing ; Zhai, Yi-ming ; Du, Zhen-bin ; Liu, Dian-tong
fYear :
2007
fDate :
15-19 Dec. 2007
Firstpage :
574
Lastpage :
578
Abstract :
On the basis of research for anomaly detection in the biological immune principles, a gene immune detection algorithm is provided. It combines innate immune and adaptive immune mechanism of the biological immune system. An adaptive approach that changes the thresholds of match in real time is suggested. This paper discussed some problems of anomaly detection in computer immune system. Shown by simulation experiments, the algorithm improves self-immunity and variety of antibodies. And it has such advantages as, high detecting efficiency, less computing time and adaptive character. Keywords: A nomaly detection; Immune; Vaccine operator ; Adaptive
Keywords :
Biological system modeling; Biology computing; Cloning; Computer security; Detection algorithms; Immune system; Pathogens; Protection; Space technology; Vaccines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security, 2007 International Conference on
Conference_Location :
Harbin
Print_ISBN :
0-7695-3072-9
Electronic_ISBN :
978-0-7695-3072-7
Type :
conf
DOI :
10.1109/CIS.2007.146
Filename :
4415409
Link To Document :
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