Intrusion detection models using enhanced denoising autoencoders and lightgbm classifier with improved detection performance
An intrusion detection system (IDS) is a software developed to monitor network traffic for suspicious activities to secure data transmission. The conventional IDS strategies are vulnerable to distorted high dimensional network traffic. To overcome this, we proposed an IDS that combines a denoising a...
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| Format: | Final Year Project / Dissertation / Thesis |
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2023
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| Online Access: | http://eprints.utar.edu.my/6233/1/SHEIKH_ABDUL_HAMEED.pdf http://eprints.utar.edu.my/6233/ |
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