A Multi-Layer Cloud-IDS Pipeline with LLM and Adaptive Q-Learning Calibration
Multi-layer cloud intrusion detection system combines LLM analysis with adaptive Q-learning to address zero-day attacks across dynamic cloud architectures, enhancing SOC detection capabilities.
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arXiv:2605.15889v1 Announce Type: new Abstract: Security in cloud computing has become a major concern due to several factors such as layered cloud architectures, dynamic environments, and exposure to unseen or zero-day attacks. Moreover, intrusion detection systems (IDS) typically operate at specific layers and rely heavily on machine learning models, which often perform well in experimental settings but fail to sustain performance in real cloud deployments. In this work, we implement a confid
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