Investigations of Intrusion Detection Based on Data Mining
Chapter
Abstract
This thesis compares the availability of clustering algorithm and Apriori algorithm in the intrusion detection system. Experiments prove that the clustering algorithm bears better results on Probing and DOS than Apriori algorithm. When detecting intrusion, both algorithms suffer a high rate of missing report, especially when detecting U2R and R2L.
Keywords
intrusion detection clustering algorithm Apriori algorithmPreview
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References
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