Ravindra Mangar (Dartmouth College, Hanover), Jared Chandler (Dartmouth College, Hanover), Timothy J. Pierson (Dartmouth College, Hanover), David Kotz (Dartmouth College, Hanover)

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.

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TYPEFUZZ: Type Coverage Directed JavaScript Engine Fuzzing (Registered Report)

Tobias Wienand (Ruhr-Universitat Bochum), Lukas Bernhard (Ruhr-Universitat Bochum), Flavio Toffalini (Ruhr-Universitat Bochum)

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Incident Response Planning Using a Lightweight Large Language Model...

Kim Hammar (Department of Electrical and Electronic Engineering, University of Melbourne, Australia), Tansu Alpcan (Department of Electrical and Electronic Engineering, University of Melbourne, Australia), Emil C. Lupu (Department of Computing, Imperial College London, United Kingdom)

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Was My Data Used for Training? Membership Inference in...

Xue Tan (Institute of Big Data, Fudan University, Shanghai, China and College of Computer Science and Artificial Intelligence, Fudan University, Shanghai, China), Hao Luan (Institute of Big Data, Fudan University, Shanghai, China and College of Computer Science and Artificial Intelligence, Fudan University, Shanghai, China), Mingyu Luo (Institute of Big Data, Fudan University, Shanghai, China and…

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