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The IoT Security Testing Guide (ISTG) provides a comprehensive methodology for penetration tests in the IoT field, offering flexibility to adapt innovations, and developments in the IoT market while still ensuring comparability of test results.
An Anomaly-Based Intrusion Detection System (AIDS) built with a Random Forest classifier on the CICIOT23 dataset. This project automates the full ML pipeline to detect anomalous IoT network traffic with 99.76% accuracy.