A Fusion of Feature Extraction and Feature Selection Technique for Network Intrusion Detection
Volume: 10, Issue: 8, Pages: 151 - 158
Published: Aug 31, 2016
Abstract
With varied and widespread attacks on information systems, intrusion detection systems (IDS) have become an indispensable part of security policy for protecting data. IDS monitor event logs and network traffic to uncover suspicious connections that deviate from the regular profile and identify them as threats or attacks. Like most of the cases the dataset used for intrusion detection i.e., KDD99 suffers two problems: imbalanced class...
Paper Details
Title
A Fusion of Feature Extraction and Feature Selection Technique for Network Intrusion Detection
Published Date
Aug 31, 2016
Volume
10
Issue
8
Pages
151 - 158
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