iotrim.github.io

IoTrimmer Project

This site contains a set of non-required destinations list from 31 consumer IoT devices and the software for producing the list. The list is created using a methodology for determining non-required destinations by automatically executing IoT device functions and determining the execution outcome while blocking selected destinations.

IoTrim

IoT devices offer multiple types of functionality; however, for this list, we select only the main functions for every IoT device under test. However, from preliminary experiments we have seen that most devices use the same destinations for different functions.

The list contains 4 columns:

IoTrigger and IoTrimmer

We release the testing system (IoTrigger) and the blocking system (IoTrimmer) that use our method for building the required and non-required destinations list (IoTrim list), and use it to block non-essential traffic.

TEAM

Our team has extensive experience in the area of privacy for Internet of Things (IoT) devices. To date, the software artifacts of our research team have produced reports and datasets that informed additional research, policy debates, and regulators. During the past 2 years, we worked on the problem of modeling and evaluating adaptation strategies based on measurements techniques for IoT devices. All the research experience above resulted in peer-reviewed papers, published in top tier scientific conferences and funded research projects.

NEWS

About this publication

– Title: Blocking Without Breaking: Identification and Mitigation of Non-Essential IoT Traffic

– Authors: Anna Maria Mandalari (Imperial College London), Daniel J. Dubois (Northeastern University), Roman Kolcun (Imperial College London), Muhammad Talha Paracha (Northeastern University), Hamed Haddadi (Imperial College London), and David Choffnes (Northeastern University)

– Download Full Text (PDF)

– Citation: @inproceedings{mandalari-pets21,

title={Blocking Without Breaking: Identification and Mitigation of Non-Essential IoT Traffic},

author={Mandalari, Anna Maria and Dubois, Daniel J.and Kolcun, Roman and Paracha, Muhammad Talha and Haddadi, Hamed and Choffnes, David},

booktitle={Proc. of the Privacy Enhancing Technologies Symposium (PETS)},

year={2021}

}