MetAegis: Defend Against Physical-layer Wireless Sensing Leakage via Metasurface Obfuscation

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.

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Publication Details

Journal
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
Published
2026-03-16
DOI
https://doi.org/10.1145/3790113
Citations
1
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
21.93
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article

MetAegis: Defend Against Physical-layer Wireless Sensing Leakage via Metasurface Obfuscation

Chenghan Jiang, Zhuzhu Wang, Xianjia Meng, Shibo Zhang et al.
1 citations
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
Indoor and Outdoor Localization Technologies
21.93
article

MetAegis: Defend Against Physical-layer Wireless Sensing Leakage via Metasurface Obfuscation

Chenghan Jiang, Zhuzhu Wang, Xianjia Meng, Shibo Zhang, Jinjiang Yang, Dingyi Fang, Zhanyong Tang, Xinyi Li, Boxuan Yang, Jie Zhang
article en
1 citations

Abstract

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.

Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous TechnologiesVol. 10(1)
Northwest University (CN), Xi’an University of Posts and Telecommunications (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 1%
Indoor and Outdoor Localization Technologies
21.93
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