Fingerprinting chipless RFID with a MIMO system for tag authentication in Internet of Things
Year: 2025
Type: article
Abstract: This paper presents a new method to tackle the security issues of chipless tag systems in Internet of Things (IoT) applications. The strategy aims to prevent the cloning of tags by utilizing the intrinsic natural randomness in the manufacturing process. This research presents a novel approach to generate fingerprints for chipless Radio Frequency Identification (RFID) tags using the unique backscattered electromagnetic (EM) responses, caused by inherent natural variations in resonator geometry, captured by a portable Multiple Input Multiple Output (MIMO) reader. Using seven tags, one authentic and six counterfeits, two separate sets of fingerprints were generated using both Frequency Domain (FD) and Time Domain (TD) data, respectively, effectively creating a dual-layer authentication system that distinguishes authentic tags from fakes with 100% accuracy. This was achieved by utilising similarity metrics such as Mean Squared Error (MSE) and Structural Similarity Index (SSI), offering a robust alternative to traditional tag authentication methods. The portability and affordability of the MIMO reader, combined with new opportunities for image-based identification, position this approach as a substantial advancement in the realm of authenticity verification for chipless RFID tags in the realm of IoT.
Source: Internet of Things
Authors: Shahed Khan, Biplob Ray, Nemai Karmakar
Institutions: Monash University, Central Queensland University
Language: English
Topic: RFID technology advancements
Subfield: Media Technology
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $2,690
OpenAlex ID: W4407852181