New Publication: Identification and Classification of Electronic Devices Using Harmonic Radar

Detecting and identifying all devices present in a home is a necessary first step to control the flow of data. In this paper we present a system which uses harmonic radar technology to detect and identify electronic devices. Our method works when the device has no wireless network interface, is powered off, or attempts to evade detection. We correctly identify known devices with 97.6% accuracy and identify previously unseen devices as ‘unknown’ with 69.0% balanced accuracy.

Read the full paper to learn more! And subscribe to this blog to stay up-to-date on SPLICE team research.

Perez, Beatrice, Timothy J. Pierson, Gregory Mazzaro, and David Kotz. “Identification and Classification of Electronic Devices Using Harmonic Radar.” In 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), 248–55. Pafos, Cyprus: IEEE, 2023. https://doi.org/10.1109/DCOSS-IoT58021.2023.00050.

Leave a comment

We’re SPLICE

SPLICE logo

The SPLICE research team consists of faculty, postdocs, graduate students, and undergraduate students from 8 different institutions across the United States. We look at smart-home security and privacy from a multi-disciplinary perspective, across the lifecycle of smart devices, with varied residential situations in mind.

Contact Us

Go back

Your message has been sent

Warning
Warning
Warning
Warning.