Multi-attribute counterfeiting tag identification protocol in large-scale RFID system

Abstract

Counterfeiting products identification is the main application of RFID technology. Among all the RFID security problems, counterfeiting tag identification is an urgent issue with rapid growth of counterfeiters. In this paper, a multi-attribute counterfeiting tag identification protocol based on multi-dimension dynamic bloom filter in large-scale RFID system is proposed. Dynamic bloom filters for tag’s attributes: identity information ID and location information angle value, are first brought as criterion of counterfeiting tag identification. Different from previous probabilistic approaches, our protocol not only identifies unknown tags, but also first solves problem that counterfeiters hold the same ID with genuine ones. Furthermore, our protocol can detect and verify counterfeiting tags’ identity. Performance analysis shows that especially with huge amount of tags, our protocol can achieve higher identification efficiency with reasonable time cost.