AI RESEARCH
A Multi-Layer Cloud-IDS Pipeline with LLM and Adaptive Q-Learning Calibration
arXiv CS.LG
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ArXi:2605.15889v1 Announce Type: cross 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.