Title :
A Novel Immune Detection Algorithm for Anomaly Detection
Author_Institution :
Inst. of Comput. Sci. & Technol., Yantai Univ.
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;
Conference_Titel :
Intelligent Control, 2005. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation
Conference_Location :
Limassol
Print_ISBN :
0-7803-8936-0
DOI :
10.1109/.2005.1467226