Enabling Research Extensions in Matter via Custom Clusters


Ravindra Mangar, Jared Chandler, Timothy J. Pierson, and David Kotz. Enabling Research Extensions in Matter via Custom Clusters. Proceedings of the Workshop on Security and Privacy in Standardized IoT (SDIoTSec'26). Internet Society, February 2026. doi:10.14722/sdiotsec.2026.23064. ©Copyright Internet Society. Distinguished Paper Award.

Abstract:

Matter is a recent interoperability standard that aims to address fragmentation in smart homes by providing a common system for integrating disparate smart-home devices. As Matter adoption grows, it also creates a shared platform on which new smart-home mechanisms can be implemented and evaluated end-to-end across realistic deployments.

However, turning a research idea into a runnable prototype in a Matter-based deployment is tedious. We address this shortcoming by presenting a practical template for implementing custom clusters in the open-source Matter SDK and invoking it from a widely used smart-home controller. Using a running example, we add a simple cluster that erases sensitive data stored on a smart device. We view this template as an enabling step for the community. While Matter's open reference implementation provides common ground, the concrete steps required to add and exercise experimental functionality remain scattered. Our template and walkthrough consolidate the necessary steps needed for a reproducible workflow that researchers can adapt for exploring new security and privacy mechanisms.

Citable with [BibTeX]: \cite{mangar:enabling}

Projects: [splice]

Keywords: [iot] [software]

Available from the publisher: [DOI]

Available from the author: [bib] [pdf]
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[Kotz research]