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Results for "industrial IoT"

LLM-based Multi-class Attack Analysis and Mitigation Framework in IoT/IIoT Networks

arXiv · Oct 30

This paper introduces a framework that combines machine learning for multi-class attack detection in IoT/IIoT networks with large language models (LLMs) for attack behavior analysis and mitigation suggestion. The framework uses role-play prompt engineering with RAG to guide LLMs like ChatGPT-o3 and DeepSeek-R1, and introduces new evaluation metrics for quantitative assessment. Experiments using Edge-IIoTset and CICIoT2023 datasets showed Random Forest as the best detection model and ChatGPT-o3 outperforming DeepSeek-R1 in attack analysis and mitigation.

The internet of sea things

KAUST · Jul 29

KAUST researchers developed a hybrid wireless communication system for non-invasive monitoring of marine animals, consisting of a lightweight, flexible, Bluetooth-enabled tag that stores sensor data underwater. The tag syncs data to floating receivers when the animal surfaces, which then relays the data via GSM or drones. The system is a collaboration between the Red Sea Research Center and KAUST's electrical engineering department. Why it matters: This technology provides researchers with detailed, near real-time data about marine animals, overcoming the limitations of invasive and impractical traditional tagging methods.