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DTD: A Novel Double-Track Approach to Clone Detection for RFID-Enabled Supply Chains

机译:DTD:基于RFID的供应链克隆检测的新型双轨方法

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摘要

Toward improving the traditional clone detection technique whose performance may be affected by dynamic changes of supply chains and misread, we present a novel and effective clone detection approach, termed double-track detection, for radio frequency identification-enabled supply chains. As part of a tag’s attributes, verification information is written into tags so that the set of all verification information in the collected tag events forms a time series sequence. Genuine tags can be differentiated from clone tags due to the discrepancy in their verification sequences which are constructed as products flow along the supply chain. The verification sequence together with the sequence formed by business actions performed during the supply chains yield two tracks which can be assessed to detect the presence of clone tags. Theoretical analysis and experimental results show that our proposed mechanism is effective, reasonable, and has a relatively high clone detection rate when compared with a leading method in this area.
机译:为了改进传统克隆检测技术,该技术的性能可能会受到供应链动态变化和误读的影响,我们提出了一种新颖且有效的克隆检测方法,称为双轨检测,用于启用射频识别的供应链。作为标签属性的一部分,验证信息被写入到标签中,以便收集到的标签事件中的所有验证信息的集合形成一个时间序列。真正的标签可以与克隆标签区分开,这是因为它们的验证顺序存在差异,这种验证顺序是随着产品沿着供应链流动而构造的。验证序列与在供应链中执行的业务活动形成的序列一起产生了两条轨迹,可以对其进行评估以检测克隆标签的存在。理论分析和实验结果表明,与该领域的领先方法相比,我们提出的机制是有效,合理的,并且克隆检测率较高。

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