A comparative study between deep learning algorithm and bayesian network on Advanced Persistent Threat (APT) attack detection

• Main Authors: Ooi, Hui Ni, Ab Rahman, Nurul Hidayah
• Format: Other
• Language: English
• Published: Penerbit UTHM 2021
• Subjects: TK Electrical engineering. Electronics Nuclear engineering; TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
• Online Access: http://eprints.uthm.edu.my/6712/1/P13606_fc6b8cdc19cf367513bb5fecde8c41eb.pdf; http://eprints.uthm.edu.my/6712/; https://doi.org/10.30880/aitcs.2021.02.02.015
• Institution: Universiti Tun Hussein Onn Malaysia

Advanced Persistent Threat (APT) attacks are a major concern for the cybersecurity in digital world due to their advanced nature. Attackers are skilful to cause maximal destruction for targeted cyber environment. These APT attacks are also well funded by governments in many cases. The APT atta...