Non-Intrusive Item Authentication with High Robustness for RFID-Enabled Logistics

May 19, 2025·
Jiawei Xue
Chunhui Duan
Chunhui Duan
Corresponding author
,
Fan Li
,
Qihua Feng
,
Ziang Wang
,
Yinan Zhu
· 2 min read
Type
Publication
IEEE International Conference on Computer Communications, 1-10
Status
Peer-reviewed
publications

Abstract

RFID technology has found extensive applications in the realm of smart logistics, facilitating rapid package sorting and tracking. Harnessing the potential of RFID in addressing concerns related to logistics security holds significant promise and meaning. To detect the status of goods inside the packages and provide timely alerts for instances of loss, replacement, or damage, we propose RF-Express, a non-intrusive and anti-interference item authentication method. RF-Express enables seamless authentication of items during the logistics process, utilizing pervasive RFIDs with almost no additional costs. Specifically, by tactfully arranging a pair of tags on each package and extracting representative features from the backscatter signals of the tags, we manage to discern the authenticity of the item with high precision across various multipath environments. Besides, a feature matching algorithm based on the triplet network is employed to further reinforce the robustness of the system. We have implemented the RF-Express prototype on commercial devices and conducted extensive experiments. RF-Express achieves a true acceptance rate of 90.97% and a true rejection rate of 94.38% on average under common attack scenarios.

Citation

J. Xue, C. Duan, F. Li, Q. Feng, Z. Wang, and Y. Zhu, “Non-Intrusive Item Authentication with High Robustness for RFID-Enabled Logistics,” in Proceedings of the IEEE International Conference on Computer Communications (INFOCOM), 2025, pp. 1-10.

中文引用(GB/T 7714)

Xue J, Duan C, Li F, et al. Non-Intrusive Item Authentication with High Robustness for RFID-Enabled Logistics[C]//Proceedings of the IEEE International Conference on Computer Communications (INFOCOM). 2025: 1-10.

Chunhui Duan
Authors
Chunhui Duan (she/her)
Associate Professor
I am Chunhui Duan (段春晖), currently an Associate Professor (tenure-track) in School of Computer Science and Technology, Beijing Institute of Technology. Previously, I worked as a postdoc research fellow at Tsinghua University. I received the B.S. and Ph.D. degrees from the School of Software at Tsinghua University, in 2013 and 2018 respectively, supervised by Prof. Yunhao Liu.

My research interests include RFID, Internet-of-Things, indoor localization, wireless sensing, etc.