URTracker: Unauthorized Reader Detection and Localization Using COTS RFID

Sun, Degang; Cui, Yue; Feng, Yue; Xie, Jinxing; Wang, Siye; Zhang, Yanfang

doi:10.1007/978-3-030-85928-2_27

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…The second category is the use of application layer data for detection. Sun et al [18] use the changes in throughput to determine whether there is an unauthorized reading. However, the detection based on physical layer signal characteristics requires additional USRP devices, which leads to system costs increasing.…”

Section: Related Workmentioning

confidence: 99%

An Effective and Robust Method for Unauthorized Reader Detection Based on Tag’s Energy

Cao

Xie

Wang

et al. 2022

Wireless Communications and Mobile Computing

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With the rapid development of the Internet of Things, ultra-high frequency (UHF) passive radio frequency identification (RFID) technology plays a vital role in various fields. UHF RFID faces unauthorized access attacks due to its long identification distance. Unauthorized readers can hide within a certain distance and use standard commands to read or modify tags. However, existing methods require additional equipment or are susceptible to environmental influences. In this paper, we make a novel attempt to counterattack unauthorized access. We propose a new method for Unauthorized Reader Detection based on Tag’s Energy, called URDTE, to detect unauthorized readers by observing the energy of the tag. The competitive advantage of URDTE is that it is fully compatible with the RFID standard EPCglobal Gen 2, which makes it more applicable and scalable in practice. Besides, it takes the electrical energy stored in a tag’s resistor-capacitor (RC) circuit as the detection principle, which is robust to environmental changes such as tag position, communication distance, and transmit power. We implement URDTE using commercial off-the-shelf (COTS) RFID devices without requiring firmware or hardware modifications. Extensive experiments show that URDTE can detect unauthorized readers with an accuracy of up to 99%.

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Section: Related Workmentioning

confidence: 99%