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An LLM-Assisted AutoML Framework for Intrusion Detection in IoT Networks

Yang, Li
arXiv (All) · Papers
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68t05cryptography-and-securityi-2-6k-6-5
Internet of Things (IoT) systems are increasingly deployed in smart homes, transportation, energy systems, and critical infrastructure. This broad connectivity improves service intelligence, but also enlarges the attack surface of IoT networks. Machine Learning (ML)-based Intrusion Detection Systems
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