Palmese, F;
Mandalari, AM;
Haddadi, H;
Redondi, AEC;
(2025)
Intelligent Detection of Non-Essential IoT Traffic on the Home Gateway.
In:
Proceedings 10th IEEE European Symposium on Security and Privacy Workshops Euro S and Pw 2025.
(pp. pp. 147-152).
IEEE: Venice, Italy.
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Abstract
The rapid expansion of Internet of Things (IoT) devices, particularly in smart home environments, has introduced considerable security and privacy concerns due to their persistent connectivity and interaction with cloud services. Despite advancements in IoT security, effective privacy measures remain uncovered, with existing solutions often relying on cloud-based threat detection that exposes sensitive data or outdated allow-lists that inadequately restrict non-essential network traffic. This work presents ML-IoTrim, a system for detecting and mitigating non-essential IoT traffic (i.e., not influencing the device operations) by analyzing network behavior at the edge, leveraging Machine Learning to classify network destinations. Our approach includes building a labeled dataset based on IoT device behavior and employing a feature-extraction pipeline to enable a binary classification of essential vs. non-essential network destinations. We test our framework in a consumer smart home setup with IoT devices from five categories, demonstrating that the model can accurately identify and block nonessential traffic, including previously unseen destinations, without relying on traditional allow-lists. We implement our solution on a home access point, showing the framework has strong potential for scalable deployment, supporting near-real-time traffic classification in large-scale IoT environments with hundreds of devices. This research advances privacy-aware traffic control in smart homes, paving the way for future developments in IoT device privacy.
| Type: | Proceedings paper |
|---|---|
| Title: | Intelligent Detection of Non-Essential IoT Traffic on the Home Gateway |
| Event: | 2025 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) |
| Dates: | 30 Jun 2025 - 4 Jul 2025 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/EuroSPW67616.2025.00023 |
| Publisher version: | https://doi.org/10.1109/eurospw67616.2025.00023 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | IoT, IoT Privacy, Network Traffic, ML |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10215464 |
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