Features Dimensionality Reduction Approaches for Machine Learning Based Network Intrusion Detection

Features Dimensionality Reduction Approaches for Machine Learning Based Network Intrusion Detection

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 th...

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Bibliographic Details
Main Authors: Razan Abdulhammed, Hassan Musafer, Ali Alessa, Miad Faezipour, Abdelshakour Abuzneid
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Electronics
Subjects:
Dimensionality Reduction
Intrusion Detection System (IDS)
Sparse Auto Encoder (SAE)
Principle Component Analysis (PCA)
Uniform Distribution Based Balancing (UDBB)
Online Access:http://www.mdpi.com/2079-9292/8/3/322

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