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

Eavesdropping on Black-box Mobile Devices via Audio Amplifier's EMR

Huiling Chen (College of Computer Science and Electronic Engineering, Hunan University, Changsha, China), Wenqiang Jin (College of Computer Science and Electronic Engineering, Hunan University, Changsha, China), Yupeng Hu (College of Computer Science and Electronic Engineering, Hunan University, Changsha, China), Zhenyu Ning (College of Computer Science and Electronic Engineering, Hunan University, Changsha, China), Kenli Li (College…

Read More

Random Spoofing Attack against Scan Matching Algorithm SLAM (Long)

Masashi Fukunaga (MitsubishiElectric), Takeshi Sugawara (The University of Electro-Communications)

Read More

Vision: An Exploration of Online Toxic Content Against Refugees

Arjun Arunasalam (Purdue University), Habiba Farrukh (University of California, Irvine), Eliz Tekcan (Purdue University), Z. Berkay Celik (Purdue University)

Read More

Programmer's Perception of Sensitive Information in Code

Xinyao Ma, Ambarish Aniruddha Gurjar, Anesu Christopher Chaora, Tatiana R Ringenberg, L. Jean Camp (Luddy School of Informatics, Computing, and Engineering, Indiana University Bloomington)

Read More