Title
Batch Clone Detection in RFID-enabled supply chain
Abstract
Radio Frequency IDentification (RFID) technology plays an important role in deterring counterfeit products. There are, however, many unsolved challenges in designing an effective and efficient RFID system for anti-counterfeiting purpose. The first challenge lies in designing a system which is suitable for standard passive RFID tags, especially EPC C1G2 tags, which are widely used in real-world supply chains. These tags cannot afford strong security primitives due to very limited storage and computational capability. The second challenge lies in designing a system which can efficiently handle a increasing number of RFID products. Existing approaches for clone tag detection suffer from performance bottlenecks because a centralized detection server is required in these approaches to record and analyze the traces of all individual products. Thirdly, a practical approach to clone tag detection should work efficiently in real-world RFID systems, where products are moved and processed in batches. To address these challenges, we propose a Batch Clone Detection (BCD) scheme, which is simple, efficient, and practical. It requires only a few bits of storage in RFID tags and no computation on RFID tags, which makes it suitable for standard EPC C1G2 tags. In BCD scheme, the clone tag detection is performed at a batch level, which significantly reduces the storage and computational overheads on the server side.
Year
DOI
Venue
2014
10.1109/RFID.2014.6810721
IEEE RFID
Keywords
Field
DocType
batch production systems,counterfeit products,supply chains,batch processing (industrial),batch clone detection,epc c1g2 tags,radio frequency identification,radiofrequency identification,anticounterfeiting purpose,rfid tags,rfid-enabled supply chain,clone tag detection,centralized detection server,bcd,computational overheads,computational capability,cloning,servers,cryptography
Server-side,Cryptography,Server,Supply chain,Engineering,Counterfeit,Radio-frequency identification,Embedded system
Conference
Citations 
PageRank 
References 
5
0.41
11
Authors
3
Name
Order
Citations
PageRank
Jie Shi1131.58
Su Mon Kywe21066.36
Yingjiu Li3129892.14