Multi-dimensional Security Anomaly Monitoring Model Of Supply Chain Based On RFID

The fake phenomenon in the supply chain seriously affects the circulation of commodities,causes huge losses to both producers and consumers,and even threatens the safety of life and property of consumers.Supply chain security system based on RFID technology should be based on the supply chain logistics data,however,due to the limited hardware devices,and read/write device with electronic tag channel problems,huge amounts of goods logistics information error.At the same time,the system is vulnerable to the attack of criminals,so that the real commodity information is forged or tampered,resulting in the insecurity of the supply chain.On the basis of the above analysis,this paper constructs a RFID-based multi-dimensional security anomaly monitoring model of supply chain,designs and realizes the visualization system.First of all,the existing anti-counterfeiting solutions for the supply chain mostly stay in the level of optimizing the communication process between labels and readers.To solve this problem,a multidimensional anti-counterfeiting detection model is constructed in this paper.Secondly,this paper introduced the concept of counterfeit and not fake anomaly,by establishing a set of attribute dependence of abnormal,perfect the multi-dimensional anticounterfeiting detection model,make it can effectively in all abnormal data identify fake sexual abnormality.Finally,this paper put forward a model on the basis of RFID anti-counterfeiting supply chain,the supply chain security monitoring visualization system demand analysis,to get a complete set of system functions,and the corresponding function module,the designing and implementing different from traditional security detection system of visual monitoring interface,the final test results are visual processing,improve the readability of the system.The simulation results show that the system can effectively identify forged and nonforged anomalies and improve the reliability of the system detection results.Simplify the tasks of the staff in each site of supply chain logistics,improve the commodity environment of the supply chain,and reduce the abnormal risk of commodities in the supply chain.