Paper Info
Title
Physical-Layer Detection and Security of Printed Chipless RFID Tag for Internet of Things Applications
Abstract
This article has proposed detection and physical-layer security provision for printed sensory tag systems for Internet of Things (IoT) applications. The printed sensory tags can be a very cost-effective way to speed up the proliferation of the intelligent world of IoT. The printed radio-frequency identification (RFID) of a sensory tag is chipless with the fully printable feature, Nonline-of-Sight (NLoS) reading, low cost, and robustness to the environment. The detection and adoption of security features for such tags in a robust environment are still challenging. This article initially presents a robust technology for detecting tags using both the amplitude and phase information of the frequency signature. After successfully identifying tag IDs, the article presents novel physical-layer security using a deep learning model to prevent the cloning of tags. Our experiment shows that the proposed system can detect and identify the unique physical attributes of the tag and isolate the clone tag from the genuine tag. It is believed that such real-time and precise detection and security features bring this technology closer to commercialization for IoT applications.
Year
DOI
Venue
2022
10.1109/JIOT.2022.3151364
IEEE Internet of Things Journal
Keywords
DocType
Volume
Backscatter communication,chipless radio-frequency identification (RFID) system,deep learning,long short-term memory (LSTM),physical security
Journal
9
Issue
ISSN
Citations 
17
2327-4662
0
PageRank 
References 
Authors
0.34
14
4
Name
Order
Citations
PageRank
Grishma Khadka100.34
Biplob R. Ray2445.48
Nemai Chandra Karmakar300.34
Jinho Choi400.34