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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| 主要作者: | |
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| 格式: | Thesis |
| 語言: | English |
| 出版: |
2013
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| 主題: | |
| 在線閱讀: | http://eprints.utm.my/id/eprint/37080/5/ShahramMokaramianMFSKSM2013.pdf |
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