Intrusion detection models using enhanced denoising autoencoders and lightgbm classifier with improved detection performance

• Main Author: Sheikh, Abdul Hameed
• Format: Final Year Project / Dissertation / Thesis
• Published: 2023
• Subjects: TA Engineering (General). Civil engineering (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utar.edu.my/6233/1/SHEIKH_ABDUL_HAMEED.pdf; http://eprints.utar.edu.my/6233/
• Institution: Universiti Tunku Abdul Rahman

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...