ReaderPrint: A Universal Method for RFID Readers Authentication Based on Impedance Mismatch

Yinan Zhu, Chunhui Duan*, Xuan Ding, Zheng Yang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

Unauthorized access attack has always been a critical problem in RFID systems since any illegitimate reader can conduct access commands on tags without authorization and leave no trace. Past solutions for reader authentication require either modifications on EPC-global Gen2 protocol, which are inapplicable to existing infrastructures, or numerous extra customized devices as communication monitors, which incur high overhead. In this paper, we present a universal, low-cost and effective system to authenticate RFID readers, namely ReaderPrint, which only requires an extra passive tag array and is fully compatible with Gen2 protocol. The key insight behind ReaderPrint is that the impedance mismatch degrees (IMD) of different reader antennas across channels are distinguishable. We verify this mechanism through empirical studies using vector network analyzer and further propose two brand-new forms of hardware fingerprints, i.e., IMD-induced transmission power attenuation (ITPA) and phase shifts (IPS) across channels to quantify the IMD. Besides, to address the negative impacts of environmental changes, well-refined fingerprint matching algorithms are designed accordingly. We implement a prototype of ReaderPrint and evaluate it on 96 different readers in three indoor scenarios. Experimental results show that ReaderPrint can achieve fairly high authentication accuracy of up to 97.2%, regardless of environmental or device conditions.

源语言英语
主期刊名2022 19th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2022
出版商IEEE Computer Society
352-360
页数9
ISBN(电子版)9781665486439
DOI
出版状态已出版 - 2022
活动19th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2022 - Virtual, Online, 瑞典
期限: 20 9月 202223 9月 2022

出版系列

姓名Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops
2022-September
ISSN(印刷版)2155-5486
ISSN(电子版)2155-5494

会议

会议19th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2022
国家/地区瑞典
Virtual, Online
时期20/09/2223/09/22

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