Abstract: Methods based on deep learning have significantly advanced network intrusion detection systems (NIDS). However, they face critical challenges such as insufficient labeled data and ...
Abstract: Nowadays, the rapid growth of network traffic has needed the development of efficient anomaly detection systems to ensure network security and reliability. However, the existing One-Class ...