DocumentCode
3548974
Title
A Novel Immune Detection Algorithm for Anomaly Detection
Author
Zhang, Yajing
Author_Institution
Inst. of Comput. Sci. & Technol., Yantai Univ.
fYear
2005
fDate
27-29 June 2005
Firstpage
1441
Lastpage
1446
Abstract
Based on research for anomaly detection in the biological immune principles, a change detection algorithm for anomaly detection is provided. Adapted immune mechanism is introduced on the premise of negative selection and clone selection in this algorithm. And a niching strategy is adopted. This paper discussed the problem of anomaly detection in computer immune system roundly and deeply. Shown by simulation experiments, the algorithm improves the problem of hole and keeps variety of antibodies. And its detecting efficiency is increased obviously
Keywords
artificial life; security of data; anomaly detection; antibodies; biological immune principles; change detection algorithm; clone selection; computer immune system; immune detection algorithm; negative selection; niching strategy; vaccine; Biology computing; Cloning; Computer security; Detection algorithms; Detectors; Immune system; Intrusion detection; Protection; Space technology; Vaccines;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control, 2005. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation
Conference_Location
Limassol
ISSN
2158-9860
Print_ISBN
0-7803-8936-0
Type
conf
DOI
10.1109/.2005.1467226
Filename
1467226
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