Extracting salient features for network intrusion detection using machine learning methods

Extracting salient features for network intrusion detection using machine learning methods

This work presents a data preprocessing and feature selection framework to support data mining and network security experts in minimal feature set selection of intrusion detection data. This process is supported by detailed visualisation and examination of class distributions. Distribution histogram...

Full description

Bibliographic Details
Main Authors: Ralf C. Staudemeyer, Christian W. Omlin
Format: Article
Language:English
Published: South African Institute of Computer Scientists and Information Technologists 2014-06-01
Series:South African Computer Journal
Subjects:
network intrusion detection: feature selection
machine learning
decision trees
Online Access:http://sacj.cs.uct.ac.za/index.php/sacj/article/view/200

Internet

http://sacj.cs.uct.ac.za/index.php/sacj/article/view/200

Similar Items