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- W2379233030 abstract "Intrusion Detection is a important compositive segment in network and information security recovery system today.This paper presents a new intrusion detection method which takes the advantages of clustering and sequential exception technique by the application of the data-mining technology in Intrusion Detection System. First the standardization pretreatment of the data flow should be used in Intrusion Detection.Secondly, the initialized data used the improved K-means clustering algorithm.At last, the application of sequential exception technique can mark every cluster which is the result of clustering.The research shows that the new method for Intrusion Detection which based on the combination of the clustering and sequential exception technique can effectively improve system performance and enhance the accuracy of detection." @default.
- W2379233030 created "2016-06-24" @default.
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- W2379233030 date "2008-01-01" @default.
- W2379233030 modified "2023-09-25" @default.
- W2379233030 title "A new method for Intrusion Detection based on clustering and sequential exception technique" @default.
- W2379233030 hasPublicationYear "2008" @default.
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