Selected article for: "TPR positive rate and true TPR positive rate"
Author: Chan, Poh Yuen; Lai, Alexander I-Chi; Wu, Pei-Yuan; Wu, Ruey-Beei
Title: Physical Tampering Detection Using Single COTS Wi-Fi Endpoint
  • Cord-id: 70l4s6x1
  • Document date: 2021_8_23
    • ID: 70l4s6x1
    Snippet: 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 t
    Document: 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.

    Search related documents:
    Co phrase search for related documents
    • acc accuracy and machine learning: 1, 2, 3, 4, 5, 6
    • acc accuracy and macro average: 1