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- W2030129978 abstract "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." @default.
- W2030129978 created "2016-06-24" @default.
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- W2030129978 date "2006-01-01" @default.
- W2030129978 modified "2023-09-27" @default.
- W2030129978 title "A Fuzzy Anomaly Detection Algorithm for IPv6" @default.
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- W2030129978 doi "https://doi.org/10.1109/skg.2006.5" @default.
- W2030129978 hasPublicationYear "2006" @default.
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