Multi-dimensional Anti-counterfeiting Anomaly Monitoring Model Based on RFID in Supply Chain

There are two kinds of abnormal conditions in the RFID-enabled supply chain such as forgery and miss operation, but the existing anti-counterfeiting model is not used to distinguish them. In this regard, based on the definition of abnormal activity and its dependencies, this paper proposes the abnormality detection rules of the “frequent pattern” yielded by big data techniques. From a multi-dimensional perspective, combined with EPC data and prior information sent from the previous nodes, it can effectively distinguish between forgery activities and operational anomalies. Consequently, asecure visualization system for anti-counterfeiting and anomaly monitoring in rfid-enabled supply chain is implemented with satisfactory results