Anomaly Detection by Naive Bayes & RBF Network

Provided by: International Journal of Advanced Research in Computer Science and Electronics Engineering
Topic: Security
Format: PDF
Intrusion detection by automated means is gaining widespread interest due to the serious impact of Intrusions on computer system or network. Several techniques have been introduced in an effort to minimize up to some extent the risk associated with Intrusion attack. In this paper, the authors have used a novel machine learning technique which comprises of naive bayes approach and weighted radial basis function network approach. The proposed scheme exhibits very promising results in comparison with many earlier techniques while experimenting on KDDCup'99 data set in detecting Intrusions.

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