Abstract

In the current situation, graphical illustrations are used in Digital clothing fashion. These clothing design specifications are built using computer technologies. In the internet world, the major challenges in fashion technology are forged products and untimely product delivery. Counterfeiting has always been a severe problem in the luxury goods business. To solve this issue, the proposed system authenticates the smart contract document for digital clothing design specifications based on the blockchain and QR code. Smart contracts are a set of simple self-executing codes or programs. It can run automatically when the predetermined conditions are met. It enables secure transactions and agreements to be completed without the need for centralised authority. Blockchain is a distributed, immutable ledger that makes it easier to record transactions and manage assets in a business network. QR codes are square-shaped matrices of dark or light pixels that are used to encode and retrieve data from computing devices more quickly. QR codes are used in a wide range of applications, from supply chain management to crypto wallet addresses. The proposed system has the following steps. Select the digital garment design specification file from the smart contract approved list. Verification authority checks whether the file has been approved file or not with the recorded blockchain data. After the verification process, a secure QR code is generated with the secret message. The generated QR code is included in the design specification file. This encoded file is uploaded to the IPFS (Interplanetary File System). This QR code symbol and a design specification file’s IPFS hash code are sent to the stitching section. This QR code is used to determine if the file has been tampered with or forged. The QR code is decoded by using the secret message and it displays the decoded product information. Finally, the downloaded data has been validated using the blockchain. This QR code encoding and decoding process experimented with the collected dataset which has 60 images. The action of the QR code analysed based on the with and without attacks.

Full Text
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