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- W2783150077 abstract "With the rapid development of computer network application, it is increasingly important to detect abnormal behaviors and patterns in the field of network security. In this paper, a genetic algorithm is proposed to detect the network anomaly by using Management Information Base (MIB), which is based on the theory of classification using integrated IF-THEN rules. This paper presents a new chromosome coding scheme, and a new method of sufficiency function design is discussed too. Some experiments based on a big data set from real network environment were designed and tested, the results show that this algorithm is efficient in network anomaly detection." @default.
- W2783150077 created "2018-01-26" @default.
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- W2783150077 date "2017-11-01" @default.
- W2783150077 modified "2023-09-25" @default.
- W2783150077 title "A network anomaly detection method based on genetic algorithm" @default.
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- W2783150077 doi "https://doi.org/10.1109/icsai.2017.8248437" @default.
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