AIRO: A Streaming-Based Machine Learning Framework for Threat Detection and Security in Industrial Internet of Things
Read the original on arXiv Machine Learning →AIRO is a streaming-based machine learning framework designed to detect and mitigate cyber threats in Industrial Internet of Things (IIoT) environments. It integrates Apache Kafka for real-time data ingestion, attack-specific feature extraction, and ML inference using models such as Gradient Boosting and LightGBM. The system employs confidence-based decision logic to trigger risk reduction actions like IP blocking, account suspension, and traffic limiting, achieving F1-scores up to 0.9229 on specialized datasets for C2 beaconing, reconnaissance, SQL injection, and phishing.
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