RFID based Anti-Counterfeiting Utilizing Supply Chain Proximity

This paper discusses a novel RFID-based approach to determine probabilities of items in a supply chain as being counterfeits based on their proximity to already identified counterfeits. The central idea is that items moving close to fakes are more likely to be fakes than items traveling with genuine items. The required proximity information can be deduced from events in EPCIS repositories for RFID-tagged items. The paper discusses two mathematical algorithms for calculating the probabilities and presents the results of a comparative simulation study. The results are discussed in terms of conclusions for a future implementation with RFID-tracked supply chains.