Rui Xiao (Zhejiang University), Xiankai Chen (Zhejiang University), Yinghui He (Nanyang Technological University), Jun Han (KAIST), Jinsong Han (Zhejiang University)

In recent years, the proliferation of WiFi-connected devices and related research has led to novel techniques of utilizing WiFi as sensors, i.e., capturing human movements through channel state information (CSI) perturbations. While this enables passive occupant sensing, it also introduces privacy risks from textit{leaked WiFi signals} that attackers can intercept, leading to threats like textit{occupancy detection}, critical in scenarios such as burglaries or stalking. We propose LeakyBeam, a novel and improved textit{occupancy detection attack} that leverages a new side channel from WiFi CSI, namely beamforming feedback information (BFI). BFI retains victim's movement information, even when transmitted through walls, and is easily captured since BFI packets are unencrypted, making them a rich source of privacy-sensitive information. Furthermore, we also introduce a defense mechanism that obfuscates BFI packets, requiring minimal hardware changes. We demonstrate LeakyBeam's effectiveness through a comprehensive real-world evaluation at a distance of 20 meters, achieving true positive and negative rates of 82.7% and 96.7%, respectively.

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Panel on “Security and Privacy Issues in New 5G...

Moderator: Arupjyoti (Arup) Bhuyan, Ph.D. Director, Wireless Security Institute, Idaho National Laboratory Panelists: Ted K. Woodward, Ph.D. Technical Director for FutureG, OUSD (R&E) Phillip Porras, Program Director, Internet Security Research, SRI Donald McBride, Senior Security Researcher, Bell Laboratories, Nokia

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LeakLess: Selective Data Protection against Memory Leakage Attacks for...

Maryam Rostamipoor (Stony Brook University), Seyedhamed Ghavamnia (University of Connecticut), Michalis Polychronakis (Stony Brook University)

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Time-varying Bottleneck Links in LEO Satellite Networks: Identification, Exploits,...

Yangtao Deng (Tsinghua University), Qian Wu (Tsinghua University), Zeqi Lai (Tsinghua University), Chenwei Gu (Tsinghua University), Hewu Li (Tsinghua University), Yuanjie Li (Tsinghua University), Jun Liu (Tsinghua University)

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SCAMMAGNIFIER: Piercing the Veil of Fraudulent Shopping Website Campaigns

Marzieh Bitaab (Arizona State University), Alireza Karimi (Arizona State University), Zhuoer Lyu (Arizona State University), Adam Oest (Amazon), Dhruv Kuchhal (Amazon), Muhammad Saad (X Corp.), Gail-Joon Ahn (Arizona State University), Ruoyu Wang (Arizona State University), Tiffany Bao (Arizona State University), Yan Shoshitaishvili (Arizona State University), Adam Doupé (Arizona State University)

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