ML-IoTrim uses random forests and neural networks on per-destination traffic statistics to distinguish essential from non-essential IoT destinations, achieving near-perfect accuracy on seen devices but not on unseen device types.
Protected or Porous: A Comparative Analysis of Threat Detection Capability of IoT Safeguards,
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Intelligent Detection of Non-Essential IoT Traffic on the Home Gateway
ML-IoTrim uses random forests and neural networks on per-destination traffic statistics to distinguish essential from non-essential IoT destinations, achieving near-perfect accuracy on seen devices but not on unseen device types.