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.

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Yuxiang Yang (Tsinghua University), Xuewei Feng (Tsinghua University), Qi Li (Tsinghua University), Kun Sun (George Mason University), Ziqiang Wang (Southeast University), Ke Xu (Tsinghua University)

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Aozhuo Sun (Institute of Information Engineering, Chinese Academy of Sciences), Jingqiang Lin (School of Cyber Science and Technology, University of Science and Technology of China), Wei Wang (Institute of Information Engineering, Chinese Academy of Sciences), Zeyan Liu (The University of Kansas), Bingyu Li (School of Cyber Science and Technology, Beihang University), Shushang Wen (School of…

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Sijie Zhuo (University of Auckland), Robert Biddle (University of Auckland and Carleton University, Ottawa), Lucas Betts, Nalin Asanka Gamagedara Arachchilage, Yun Sing Koh, Danielle Lottridge, Giovanni Russello (University of Auckland)

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