Device Discovery in the Smart Home Environment

Author ORCID Identifier

https://orcid.org/0000-0001-7411-2783

Document Type

Conference Paper

Publication Date

5-2024

Publication Title

Proceedings of the IEEE/ACM Workshop on the Internet of Safe Things (SafeThings)

Department

Department of Computer Science

Abstract

With the availability of Internet of Things (IoT) devices offering varied services, smart home environments have seen widespread adoption in the last two decades. Protecting privacy in these environments becomes an important problem because IoT devices may collect information about the home’s occupants without their knowledge or consent. Furthermore, a large number of devices in the home, each collecting small amounts of data, may, in aggregate, reveal non-obvious attributes about the home occupants. A first step towards addressing privacy is discovering what devices are present in the home. In this paper, we formally define device discovery in smart homes and identify the features that constitute discovery in that environment. Then, we propose an evaluative rubric that rates smart home technology initiatives on their device discovery capabilities and use it to evaluate four commonly deployed technologies. We find none cover all device discovery aspects. We conclude by proposing a combined technology solution that provides comprehensive device discovery tailored to smart homes.

DOI

10.1109/SPW63631.2024.10705647

Original Citation

Mounib Khanafer, Logan Kostick, Chixiang Wang, Wondimu Zegeye, Weijia He, Berkay Kaplan, Nurzaman Ahmed, Kevin Kornegay, David Kotz, and Timothy Pierson. Device Discovery in the Smart Home Environment. Proceedings of the IEEE/ACM Workshop on the Internet of Safe Things (SafeThings), pages 298–304. IEEE, May 2024. doi:10.1109/SPW63631.2024.10705647.

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