A Comparative Study of Public Network Intrusion Detection Hybrid Machine Learning Approaches
Security in public networks has always been a challenge. With an ever-expanding landscape of cyberattacks, it is imperative to explore new/alternate mechanisms of implementing intrusion detection. Machine learning and deep learning techniques have emerged as promising for intrusion detection in the recent past, with in...