Intrusion Detection Using Random Forests Classifier with SMOTE and Feature Reduction

Published: Nov 1, 2013
Abstract
Intrusion Detection Systems (IDS) have become crucial components in computer and network security. NSL-KDD intrusion detection dataset which is an enhanced version of KDDCUP'99 dataset was used as the experiment dataset in this paper. Because of inherent characteristics of intrusion detection, still there is huge imbalance between the classes in the NSL-KDD dataset, which makes harder to apply machine learning effectively in the area of...
Paper Details
Title
Intrusion Detection Using Random Forests Classifier with SMOTE and Feature Reduction
Published Date
Nov 1, 2013
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