Open-set intrusion detection and semantic analysis of zero-day network attacks using deep reinforcement learning and large language models
The increasing prevalence of zero-day cyberattacks presents a significant challenge for modern Intrusion Detection Systems (IDS), as previously unseen network traffic often falls outside the distribution of supervised training data. Traditional deep learning-based IDS solutions operate under a closed-set assumption, re...