Song Liao, Jingwen Yan, Long Cheng (Clemson University)

The rapid evolution of Internet of Things (IoT) technologies allows users to interact with devices in a smart home environment. In an effort to strengthen the connectivity of smart devices across diverse vendors, multiple leading device manufacturers developed the Matter standard, enabling users to control devices from different sources seamlessly. However, the interoperability introduced by Matter poses new challenges to user privacy and safety. In this paper, we propose the Hidden Eavesdropping Attack in Matter-enabled smart home systems by exploiting the vulnerabilities in the Matter device pairing process and delegation phase. Our investigation of the Matter device pairing process reveals the possibility of unauthorized delegation. Furthermore, such delegation can grant unauthorized Matter hubs (i.e., hidden hubs) the capability to eavesdrop on other IoT devices without the awareness of device owners. Meanwhile, the implementation flaws from companies in device management complicate the task of device owners in identifying such hidden hubs. The disclosed sensitive data about devices, such as the status of door locks, can be leveraged by malicious attackers to deduce users’ activities, potentially leading to security breaches and safety issues.

View More Papers

SigmaDiff: Semantics-Aware Deep Graph Matching for Pseudocode Diffing

Lian Gao (University of California Riverside), Yu Qu (University of California Riverside), Sheng Yu (University of California, Riverside & Deepbits Technology Inc.), Yue Duan (Singapore Management University), Heng Yin (University of California, Riverside & Deepbits Technology Inc.)

Read More

A Comparative Analysis of Difficulty Between Log and Graph-Based...

Matt Jansen, Rakesh Bobba, Dave Nevin (Oregon State University)

Read More

Poster: Understanding User Acceptance of Privacy Labels: Barriers and...

Jingwen Yan (Clemson University), Mohammed Aldeen (Clemson University), Jalil Harris (Clemson University), Kellen Grossenbacher (Clemson University), Aurore Munyaneza (Texas Tech University), Song Liao (Texas Tech University), Long Cheng (Clemson University)

Read More

Experimental Analyses of the Physical Surveillance Risks in Client-Side...

Ashish Hooda (University of Wisconsin-Madison), Andrey Labunets (UC San Diego), Tadayoshi Kohno (University of Washington), Earlence Fernandes (UC San Diego)

Read More