Designing A Secure Fake Products Identification System using Blockchain with Efficient Consensus Mechanism

• Published in: 2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT) pp. 420 - 425
• Main Authors: Yadav, Akriti, Dwivedi, Aditya Narayan, Chaudhary, Anju, Dwivedi, Rajendra Kumar
• Format: Conference Proceeding
• Language: English
• Published: IEEE 04-01-2024
• Subjects: Anti-counterfeit; Blockchain; Blockchains; Consensus protocol; Fake product identification; Internet of Things; Manufacturing industries; QR code; QR codes; Safety; Security; Smart contract
• DOI: 10.1109/IDCIoT59759.2024.10467924

From the last few years, in product manufacturing industries, counterfeit products have played an important role that would affect the companv's fame. sales. and profit. To detect fake products and identify real products, a secure system can be developed using blockchain technology, Blockchain technology is a distributed decentralized, digital ledger that is stored across multiple databases, storing all transactions as blocks connected by a chain. Due to having a digital ledger, a block cannot be changed or be hacked. By employing blockchain technology, consumers or users may certify the safety of a product without depending on other users. In this study, Quick Response (QR) codes and bar codes have been used to provide robust techniques to detect counterfeit products. where QR code of the product is associated as a block to a blockchain. The proposed system stores product details and generate a unique QR code associated with that product as a block in the database to detect the counterfeit product. The unique QR codes have been created throughout the procedure and it is matched with the entries stored in the blockchain database. If the generated unique QR code is matched against entries in the blockchain database, it will give a notification to the user otherwise fake product notification will be given to the user. The proposed system outperforms the existing systems in terms of security as well as computational time.