Development of an RFID-Based Supply Chain Management System using Blockchain and Machine Learning

Abstract

Products are transferred from supplier to customer via a supply chain management (SCM) system. The information and material movement from supplier to manufacturer, wholesaler, retailer, and customer is integrated and coordinated by it. Product availability when needed is guaranteed by an efficient supply chain management system. In this sense, the supply chain's use of Radio-Frequency IDentification (RFID) technology guarantees that the appropriate products are available where they are needed. RFID increases the supply chain's accuracy and boosts its overall dependability and efficiency. By incorporating the greatest technologies available, businesses are attempting to address supply chain bottlenecks. Cloud-based supply chain management (SCM) solutions have been flooding the market in recent years. Cloud-based SCM is thought to face significant security challenges. The current RFID-based security protocols are examined, compared to known security flaws, and their effectiveness in relation to the active RFID tag is assessed in this research project, which focusses on authentication problems in the various processes of cloud-based supply chain management applications where objects are tagged with an active RFID tag. Numerous RFID protocols now in use have been shown to be computationally demanding. This inspired us to offer safe RFID authentication methods that use less processing power from the RFID tag and don't require a reliable third party for cloud-based supply chain management.Mutual authentication between the participating entities, transferring the reader's rights to another authenticated reader by removing reader-to-reader communication, creating an ownership transfer protocol to stop counterfeit goods and give the customer verifiability, and creating an object tracking protocol for when RFID-tagged objects are in transit are the primary goals of this research project.