Deterministic Detection of Cloning Attacks for Anonymous RFID Systems

Bu, Kai; Xu, Mingyu; Li, Xuan; Luo, Jun; Zhang, Shigeng; Weng, Minyu

doi:10.1109/tii.2015.2482921

Cited by 41 publications

(15 citation statements)

References 26 publications

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“…We propose a dual verification strategy that combines consistent dual hash collisions with tag reading frequency aggregated over time intervals to verify which of the suspicious tags is genuine and which is counterfeit. Extensive performance analysis of the proposed approach is carried out and its performance is compared with baseline approaches [ 25 ]. The results of the experiments show that the proposed approach outperforms the baseline approaches as much as 99% in the detection accuracy with a reduced communication overhead under varying RFID tag cloning ratio.…”

Section: Introductionmentioning

confidence: 99%

“…Extensive performance analysis of the proposed approach is carried out and compared with BASE and DeClone, the approaches proposed in [ 25 ].…”

Section: Introductionmentioning

confidence: 99%

“…Clone detection through identical EPC not only applicable in known RFID system but also in anonymous RFID system as studies in [ 39 ] and [ 25 ]. GREAT [ 39 ], BASE [ 25 ] and DeClone [ 25 ] are clone tag detection approaches in anonymous RFID system and used slotted Aloha to find any hash collision that caused possible irreconcilable collision due to identical EPC. GREAT is an approach that is based on framed slotted Aloha anti-collision and detects the clone tag probabilistically while DeClone is the improved approach of similar groundwork with addition on the Breadth First tree traversal (BFS).…”

Section: Introductionmentioning

confidence: 99%

“…Besides, execution time of GREAT tends to be infinite if used to detect 100% clone tags. In BASE [ 25 ], the amount of tag and amount of EPC is compared for the reason that clone attack makes tag quantity exceed the EPC quantity. However, this approach is less efficient for large scale system because clone tags might respond at the very beginning of the protocol execution yet BASE needs to count almost all tags until it detects the tag quantity exceed the EPC quantity.…”

Section: Introductionmentioning

confidence: 99%

“…When reader sends a query prefix, the tag responds the query only if it’s pseudonym contains this prefix. The approaches in [ 19 ], [ 22 ], [ 25 ], [ 39 ] reveal that cloning of the genuine EPC can be triggered by tag collision not only in known RFID systems but also in anonymous RFID systems. However, the approaches required genuine and clone tags to be presented at the same time and location.…”

Section: Introductionmentioning

confidence: 99%

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Clone tag detection in distributed RFID systems

2018

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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.

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Section: Introductionmentioning

confidence: 99%

“…Extensive performance analysis of the proposed approach is carried out and compared with BASE and DeClone, the approaches proposed in [ 25 ].…”

Section: Introductionmentioning

confidence: 99%