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Review the performance of the Bernoulli Naïve Bayes Classifier in Intrusion Detection Systems using Recursive Feature Elimination with Cross-validated selection of the best number of features

Mechetin Artur

2021Procedia Computer Science62 citationsDOIOpen Access PDF

Abstract

In this paper I propose a wrapped feature selection method using Recursive Feature Elimination and Cross-validated selection. In my work I use Bernoulli Naïve Bayes classifier on the NSL-KDD dataset.

Topics & Concepts

Computer scienceFeature selectionNaive Bayes classifierClassifier (UML)Bernoulli's principleBayes' theoremIntrusion detection systemArtificial intelligenceBayes classifierPattern recognition (psychology)Machine learningFeature (linguistics)Selection (genetic algorithm)Cross-validationData miningBayesian probabilitySupport vector machinePhilosophyEngineeringLinguisticsAerospace engineeringNetwork Security and Intrusion DetectionAdvanced Malware Detection TechniquesSpam and Phishing Detection
Review the performance of the Bernoulli Naïve Bayes Classifier in Intrusion Detection Systems using Recursive Feature Elimination with Cross-validated selection of the best number of features | Litcius