Physical Tampering Detection Using Single COTS Wi-Fi Endpoint

• Published in: Sensors (Basel, Switzerland) Vol. 21; no. 16; p. 5665
• Main Authors: Chan, Poh Yuen, Lai, Alexander I-Chi, Wu, Pei-Yuan, Wu, Ruey-Beei
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 23.08.2021; MDPI
• Subjects: Accuracy; Antennas; Bandwidths; channel state information (CSI); Communication; COTS Wi-Fi mobile device; deep neural network (DNN); Experiments; Internet of Things; Localization; Neural networks; physical tampering detection; Receivers & amplifiers; Sensors; single embedded antenna; Software; Surveillance; Transmitters; Virtual private networks

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 du...