@inproceedings{cc578d4101ae4d669c2703ecc7740512,
title = "RCID: Fingerprinting Passive RFID Tags via Wideband Backscatter",
abstract = "Tag cloning and spoofing pose great challenges to RFID applications. This paper presents the design and evaluation of RCID, a novel system to fingerprint RFID tags based on the unique reflection coefficient of each tag circuit. Based on a novel OFDM-based fingerprint collector, our system can quickly acquire and verify each tag's RCID fingerprint which are independent of the RFID reader and measurement environment. Our system applies to COTS RFID tags and readers after a firmware update at the reader. Extensive prototyped experiments on 600 tags confirm that RCID is highly secure with the authentication accuracy up to 97.15% and the median authentication error rate equal to 1.49%. RCID is also highly usable because it only takes about 8 s to enroll a tag and 2 ms to verify an RCID fingerprint with a fully connected multi-class neural network. Finally, empirical studies demonstrate that the entropy of an RCID fingerprint is about 202 bits over a bandwidth of 20 MHz in contrast to the best prior result of 17 bits, thus offering strong theoretical resilience to RFID cloning and spoofing.",
keywords = "Authentication, Fingerprinting, RFID, Wireless Security",
author = "Jiawei Li and Ang Li and Dianqi Han and Yan Zhang and Tao Li and Yanchao Zhang",
note = "Funding Information: ACKNOWLEDGMENT This project was supported in part by US National Science Foundation under grants CNS-2055751/1933069/1824355. Publisher Copyright: {\textcopyright} 2022 IEEE.; 41st IEEE Conference on Computer Communications, INFOCOM 2022 ; Conference date: 02-05-2022 Through 05-05-2022",
year = "2022",
doi = "10.1109/INFOCOM48880.2022.9796663",
language = "English (US)",
series = "Proceedings - IEEE INFOCOM",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "700--709",
booktitle = "INFOCOM 2022 - IEEE Conference on Computer Communications",
}