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Clone tag detection in distributed RFID systems

Kamaludin, Hazalila, Mahdin, Hairulnizam and Abawajy, Jemal H. 2018, Clone tag detection in distributed RFID systems, PLoS One, vol. 13, no. 3, pp. 1-22, doi: 10.1371/journal.pone.0193951.

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Title Clone tag detection in distributed RFID systems
Author(s) Kamaludin, Hazalila
Mahdin, Hairulnizam
Abawajy, Jemal H.ORCID iD for Abawajy, Jemal H. orcid.org/0000-0001-8962-1222
Journal name PLoS One
Volume number 13
Issue number 3
Article ID e0193951
Start page 1
End page 22
Total pages 22
Publisher Public Library of Science
Place of publication San Francisco, Calif.
Publication date 2018-03
ISSN 1932-6203
Summary Although Radio Frequency Identification (RFID) is poised to displace barcodes, security vulnerabilities pose serious challenges for global adoption of the RFID technology. Specifically, RFID tags are prone to basic cloning and counterfeiting security attacks. A successful cloning of the RFID tags in many commercial applications can lead to many serious problems such as financial losses, brand damage, safety and health of the public. With many industries such as pharmaceutical and businesses deploying RFID technology with a variety of products, it is important to tackle RFID tag cloning problem and improve the resistance of the RFID systems. To this end, we propose an approach for detecting cloned RFID tags in RFID systems with high detection accuracy and minimal overhead thus overcoming practical challenges in existing approaches. The proposed approach is based on consistency of dual hash collisions and modified count-min sketch vector. We evaluated the proposed approach through extensive experiments and compared it with existing baseline approaches in terms of execution time and detection accuracy under varying RFID tag cloning ratio. The results of the experiments show that the proposed approach outperforms the baseline approaches in cloned RFID tag detection accuracy.
Language eng
DOI 10.1371/journal.pone.0193951
Field of Research MD Multidisciplinary
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2018, Kamaludin et al.
Free to Read? Yes
Use Rights Creative Commons Attribution licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30109487

Document type: Journal Article
Collections: School of Information Technology
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.