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
Link To Document :
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