MetAegis: Defend Against Physical-layer Wireless Sensing Leakage via Metasurface Obfuscation
Jinjiang Yang, Chenghan Jiang, Jie Zhang, Xinyi Li, Boxuan Yang, Shibo Zhang, Xianjia Meng, Zhuzhu Wang, Dingyi Fang, Zhanyong Tang
摘要
Wi-Fi-based non-intrusive sensing has emerged as a promising technology for monitoring human activities without the need for wearable devices, attracting significant interest from both industry and academia. However, the inherent broadcast nature of wireless signals renders user activity features vulnerable to eavesdropping by malicious entities, posing serious privacy risks. Existing privacy protection strategies predominantly rely on source-side solutions, such as hardware modifications to encrypt wireless channels. While partially effective, these approaches often necessitate costly and impractical hardware upgrades and, in some cases, fail to accommodate the needs of authorized users, thereby compromising their sensing performance in practical scenarios. To overcome these limitations, we propose MetAegis, an innovative channel-side obfuscation system that leverages a programmable metasurface for flexible and cost-effective deployment. MetAegis dynamically alters the wireless channel to achieve selective feature obfuscation across multiple directions, effectively shielding against malicious users while ensuring that authorized users experience no degradation in performance. This is accomplished through a feature obfuscation technique driven by switching coding configurations on the metasurface, coupled with a feature recovery framework that enables authorized users to accurately reconstruct activity-related features from obfuscated signals. We implemented MetAegis using off-the-shelf Wi-Fi devices and conducted extensive evaluations across three real-world scenarios. Experimental results demonstrate that MetAegis reduces eavesdropper recognition accuracy to below 24% on average, while authorized users maintain average accuracy exceeding 88% through the recovery mechanism under the regular deployment. Remarkably, unlike traditional source-side solutions that require close integration with transmitters, MetAegis sustains its effectiveness even under challenging conditions, such as when the metasurface is positioned over 5 meters from the transmitter. These findings underscore the practicality and robustness of MetAegis in safeguarding privacy without sacrificing usability.
问问这篇 Paper
问问你的智能体。
Lune 读过与它相关的顶会 Paper,每个回答都会注明依据哪几篇。
相关 Paper
- CloakFi: Metasurface-Enabled Privacy Protection for Wi-Fi Integrated Sensing and CommunicationYinghui He, Long Fan, Xin Li, Jun LuoINFOCOM 2026
- RISiren: Wireless Sensing System Attacks via MetasurfaceChenghan Jiang, Jinjiang Yang, Xinyi Li, Qi Li 等CCS 2024 · 被引用 2 次
- The Battle of Metasurfaces: Understanding Security in Smart Radio EnvironmentsPaul Staat, Christof Paar, Swarun KumarS&P 2026
- MIMOCrypt: Multi-User Privacy-Preserving Wi-Fi Sensing via MIMO EncryptionJun Luo, Hangcheng Cao, Hongbo Jiang, Yanbing Yang 等S&P 2024 · 被引用 28 次
- Protego: securing wireless communication via programmable metasurfaceXinyi Li, Chao Feng, Fengyi Song, Chenghan Jiang 等MobiCom 2022 · 被引用 15 次
