Sensors (Aug 2021)

Physical Tampering Detection Using Single COTS Wi-Fi Endpoint

  • Poh Yuen Chan,
  • Alexander I-Chi Lai,
  • Pei-Yuan Wu,
  • Ruey-Beei Wu

DOI
https://doi.org/10.3390/s21165665
Journal volume & issue
Vol. 21, no. 16
p. 5665

Abstract

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This paper proposes a practical physical tampering detection mechanism using inexpensive commercial off-the-shelf (COTS) Wi-Fi endpoint devices with a deep neural network (DNN) on channel state information (CSI) in the Wi-Fi signals. Attributed to the DNN that identifies physical tampering events due to the multi-subcarrier characteristics in CSI, our methodology takes effect using only one COTS Wi-Fi endpoint with a single embedded antenna to detect changes in the relative orientation between the Wi-Fi infrastructure and the endpoint, in contrast to previous sophisticated, proprietary approaches. Preliminary results show that our detectors manage to achieve a 95.89% true positive rate (TPR) with no worse than a 4.12% false positive rate (FPR) in detecting physical tampering events.

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