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