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
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