Adaptive Intrusion Detection based on Boosting and Naïve Bayesian Classifier

Abstract

In this paper, we introduce a new learning algorithm for adaptive intrusion detection using boosting and naïve Bayesian classifier, which considers a series of classifiers and combines the votes of each individual classifier for classifying an unknown or known example. The proposed algorithm generates the probability set for each round using naïve Bayesian… (More)

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Cite this paper

@inproceedings{Farid2011AdaptiveID, title={Adaptive Intrusion Detection based on Boosting and Naïve Bayesian Classifier}, author={Dewan Md. Farid and Mohammad Zahidur Rahman and Chowdhury Mofizur Rahman and Dan Zhu and G. Prem Premkumar and Xiaoning Zhang and Chao-Hsien Chu and Nouria Harbi and J{\'e}r{\^o}me Darmont}, year={2011} }