Features Dimensionality Reduction Approaches for Machine Learning Based Network Intrusion Detection

Volume: 8, Issue: 3, Pages: 322 - 322
Published: Mar 14, 2019
Abstract
The security of networked systems has become a critical universal issue that influences individuals, enterprises and governments. The rate of attacks against networked systems has increased dramatically, and the tactics used by the attackers are continuing to evolve. Intrusion detection is one of the solutions against these attacks. A common and effective approach for designing Intrusion Detection Systems (IDS) is Machine Learning. The...
Paper Details
Title
Features Dimensionality Reduction Approaches for Machine Learning Based Network Intrusion Detection
Published Date
Mar 14, 2019
Volume
8
Issue
3
Pages
322 - 322
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