A Systematic Literature Review on AI-Based Methods and Challenges in Detecting Zero-Day Attacks

• Main Authors: Por, Lip Yee, Dai, Zhen, Leem, Siew Juan, Chen, Yi, Yang, Jing, Binbeshr, Farid, Yuen Phan, Koo, Soon Ku, Chin
• Format: Article
• Published: Institute of Electrical and Electronics Engineers 2024
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.um.edu.my/47128/; https://doi.org/10.1109/ACCESS.2024.3455410

The detection of zero-day attacks remains one of the most critical challenges in cybersecurity. This systematic literature review focuses on the various AI-based methods employed for detecting zero-day attacks, identifying both the strengths and weaknesses of these approaches. By critically evaluati...