![Sample our Computer Science journals, sign in here to start your access, latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5928/TOC-Subject-Sample-2021-Computer-Science.jpg"})
Abstract
A key aspect of sustainable business development involves protecting a company’s products from counterfeiting. Since this can impact brand’s image and often, product counterfeits are of a minor quality which can be dangerous and even pose health hazards. Counterfeiters gain profits by manufacturing products using lesser quality materials and production methods. Many counterfeit products in the market are difficult to identify for a normal customer and require to be examined by a trained professional which is time-consuming and costly. In this paper, we propose a method for identifying counterfeit by a simple scan of the quick response code on the product. Since these codes are unique and are implemented by unique algorithms, it is almost impossible to forge them. Also, implementing an encrypted peer-to-peer system for the database makes it impossible for attackers to tamper with the database. The proposed method collectively not only helps laypersons to identify the authenticity of products but also an ownership tracking system where products are linked to the owners’ account which will allow them to produce proof of purchase and authenticity when reselling products and when claiming the warranty of the product. This will help in reducing manufacturing and materials costs used from traditional methods against counterfeiting such as Radio-Frequency Identification and the Hologram technique.