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Author/Affiliation: Manas Kumar NandaOpen AccessArticle
21 Pages, 2,476 KB 
Intrusion Detection and Classification using Decision Tree Based Key Feature Selection Classifiers
Abstract:
Feature selection method applied on an intrusion dataset is used to classify the intrusion data as normal or intrusive. We have made an attempt to detect and classify the intrusion data using rank-based feature selection classifiers. A set of redundant features having null rank value are eliminated then the performance evaluation using various feature selection…
Read More(This article belongs to Section Information Systems in Computer Science (CIS))