Second International Conference on Semantics, Knowledge, and Grid (SKG'06) A Fuzzy Anomaly Detection Algorithm for IPv6 Guilin, Guangxi, China November 01-November 03 ISBN: 0-7695-2673-X
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SKG.2006.5
To accomplish the anomaly detection based on IPv6, genetic algo-rithm can used as a efficacious rules generation technology. We developed a fuzzy anomaly detection model for IPv6, using fuzzy detection anomaly algorithm with negative selection inspired by biol-ogy and propose a fuzzy anomaly detec-tion rules generation technology for IPv6 using genetic algorithm. Using the CERNET2 backbone traffic, this paper tested the performance of the algorithm. The result shows that the proposed system can detect most of IPv6 attacks.
Index Terms:
genetic algorithm; negative selection; fuzzy detection
Citation:
Li Yao, Li ZhiTang, Liu Shuyu, "A Fuzzy Anomaly Detection Algorithm for IPv6," skg, pp.67, Second International Conference on Semantics, Knowledge, and Grid (SKG'06), 2006 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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