Evaluation of machine learning techniques for imbalanced data in IDS

Network Intrusion Detection System (IDS) is an automated system that can detect a malicious traffic and it plays a critical role in a network. In recent years, machine learning algorithms have been developed and used to detect network intrusion. Most standard machine learning algorithms often give h...

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Bibliographic Details
Main Author: Mokaramian, Shahram
Format: Thesis
Language:English
Published: 2013
Subjects:
Online Access:http://eprints.utm.my/id/eprint/37080/5/ShahramMokaramianMFSKSM2013.pdf
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