Sept. 4, 2023, 1:10 a.m. | Jun Luo, Hangcheng Cao, Hongbo Jiang, Yanbing Yang, Zhe Chen

cs.CR updates on arXiv.org arxiv.org

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 …

capture cost encryption exploited human information low may non privacy privacy concern private signals single studies support technologies user privacy wi-fi

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