MIMOCrypt: Multi-User Privacy-Preserving Wi-Fi Sensing via MIMO Encryption

• URL: http://arxiv.org/abs/2309.00250v1
• Date: Fri, 1 Sep 2023 04:45:57 GMT
• Title: MIMOCrypt: Multi-User Privacy-Preserving Wi-Fi Sensing via MIMO Encryption
• Authors: Jun Luo, Hangcheng Cao, Hongbo Jiang, Yanbing Yang, Zhe Chen,
• Abstract summary: Wi-Fi signals may help realize low-cost and non-invasive human sensing, yet they can also be exploited by eavesdroppers to capture private information. We propose a privacy-preserving Wi-Fi sensing framework to support realistic multi-user scenarios.
• Score: 9.602413325195528
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Wi-Fi signals may help realize low-cost and non-invasive human sensing, yet it can also be exploited by eavesdroppers to capture private information. Very few studies rise to handle this privacy concern so far; they either jam all sensing attempts or rely on sophisticated technologies to support only a single sensing user, rendering them impractical for multi-user scenarios. Moreover, these proposals all fail to exploit Wi-Fi's multiple-in multiple-out (MIMO) capability. To this end, we propose MIMOCrypt, a privacy-preserving Wi-Fi sensing framework to support realistic multi-user scenarios. To thwart unauthorized eavesdropping while retaining the sensing and communication capabilities for legitimate users, MIMOCrypt innovates in exploiting MIMO to physically encrypt Wi-Fi channels, treating the sensed human activities as physical plaintexts. The encryption scheme is further enhanced via an optimization framework, aiming to strike a balance among i) risk of eavesdropping, ii) sensing accuracy, and iii) communication quality, upon securely conveying decryption keys to legitimate users. We implement a prototype of MIMOCrypt on an SDR platform and perform extensive experiments to evaluate its effectiveness in common application scenarios, especially privacy-sensitive human gesture recognition.

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