Fuzzy K-mean Clustering Via Random Forest For Intrusiion Detection System

Abstract

Due to continuous growth of the internet technology, there is need to establish security mechanism. So for achieving this objective various NIDS has been propsed. Datamining is one of the most effective techniques used for intrusion detection. This work evaluates the performance of unsupervised learning techniques over benchmark intrusion detection datasets… (More)

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@inproceedings{Li2010FuzzyKC, title={Fuzzy K-mean Clustering Via Random Forest For Intrusiion Detection System}, author={Mark Junjie Li}, year={2010} }