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On Eliminating Blocking Interference of RFID Unauthorized Reader Detection

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Wireless Algorithms, Systems, and Applications (WASA 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13471))

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Abstract

RFID as an important component technology of IoT is rapidly applied in recent years. But it also faces severe security risks like malicious intrusion, most operated by unauthorized reader (UR). There are some researches proposed the unauthorized reader detection algorithms based on commercial off-the-shelf (COTS) devices, but these detection algorithms are often easily affected by moving objects blocking interference, causing false alarms. We adopt a new parameter adjacent signals time interval (ASTI) to improve the UR detection algorithm by reducing the time-delay and propose a new method of eliminating moving object interference, which can reduce the system false alarm rate to less than 7.9% by experimental testing.

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Acknowledgements

This paper is supported by the Strategic Priority Research Program of Chinese Academy of Sciences, Grant No. XDC02040300.

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Authors and Affiliations

  1. Institute of Information Engineering , Chinese Academy of Sciences, Beijing, China

    Yue Cui, Siye Wang & Yanfang Zhang

  2. School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China

    Degang Sun, Yue Cui, Siye Wang & Yanfang Zhang

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  1. Degang Sun
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  2. Yue Cui
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  3. Siye Wang
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  4. Yanfang Zhang
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Corresponding author

Correspondence to Siye Wang .

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Editors and Affiliations

  1. Dalian University of Technology, Dalian, China

    Lei Wang

  2. Ben-Gurion University of the Negev, Beer-Sheva, Israel

    Michael Segal

  3. Chang Gung University, Taiwan, China

    Jenhui Chen

  4. Tianjin University, Tianjin, China

    Tie Qiu

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Sun, D., Cui, Y., Wang, S., Zhang, Y. (2022). On Eliminating Blocking Interference of RFID Unauthorized Reader Detection. In: Wang, L., Segal, M., Chen, J., Qiu, T. (eds) Wireless Algorithms, Systems, and Applications. WASA 2022. Lecture Notes in Computer Science, vol 13471. Springer, Cham. https://doi.org/10.1007/978-3-031-19208-1_49

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  • DOI: https://doi.org/10.1007/978-3-031-19208-1_49

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-19207-4

  • Online ISBN: 978-3-031-19208-1

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