Category-Based Intrusion Detection Using PCA

Volume: 03, Issue: 04, Pages: 259 - 271
Published: Jan 1, 2012
Abstract
Existing Intrusion Detection Systems (IDS) examine all the network features to detect intrusion or misuse patterns. In feature-based intrusion detection, some selected features may found to be redundant, useless or less important than the rest. This paper proposes a category-based selection of effective parameters for intrusion detection using Principal Components Analysis (PCA). In this paper, 32 basic features from TCP/IP header, and 116...
Paper Details
Title
Category-Based Intrusion Detection Using PCA
Published Date
Jan 1, 2012
Volume
03
Issue
04
Pages
259 - 271
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