Frequency- and Orientation-related Phase Fingerprints for RFID Tag Authentication

Zhang, Kai; Zhang, Jiuwu; Xie, Xin; Tong, Xinyu; Liu, Xiulong; Li, Keqiu

doi:10.1109/secon55815.2022.9918596

Cited by 3 publications

(1 citation statement)

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“…In large-scale RFID systems, there are always tags with fingerprint collision due to the limited resolution of the fingerprint feature. Although some solutions can integrate multiple features to obtain reliable fingerprints [21], [22], they introduce an extra delay to collect and identify fingerprints. In addition, it is very hard to manage such a large volume of fingerprint databases in supply chain systems that need to be distributed and exchanged between suppliers and distributors.…”

Section: B Physical Fingerprint-based Tag Authenticationmentioning

confidence: 99%

Fast Counterfeit RFID Tags Detection With Slot Constraints

Zhang

Gao

2023

IEEE Access

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RFID tags are prone to counterfeit attacks in supply chain scenarios. The attacker often uses counterfeit tags to replace stolen tags to avoid being detected by the inventory process.To defend against such attacks, existing hash-based schemes have to know the hash functions embedded in tags, which are usually unavailable in large scale systems. This letter proposes a novel group-based slot constraint (GSC) scheme for lightweight counterfeit tag detection in RFIDenabled supply-chain systems. GSC can be integrated into the identification process by leveraging elaborately designed group hash functions to authenticate tags based on their slot correlation. That is, the tags in the same group can always map to slots with a fixed offset, which offers evidence for identifying counterfeit tags with an abnormal slot index. We also provide a theoretical analysis of the time slots required to achieve the desired accuracy. The simulation results show that GSC provides reliable accuracy without knowing exact hash functions.

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Section: B Physical Fingerprint-based Tag Authenticationmentioning

confidence: 99%