Anti-counterfeit Blockchain based system with Ontology
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Date
2023-07-04
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Faculty of Sciences
Abstract
The rise of counterfeit products poses significant challenges for both consumers and businesses,
jeopardizing consumer safety and causing substantial economic losses. This thesis presents the design and implementation of an anti-counterfeit
blockchain-based system that aims to tackle this issue by ensuring the
authenticity of products within the supply chain. The system leverages
the power of blockchain technology and ontology to establish a trusted and transparent environment for product verification.
The proposed system consists of multiple components that work in synergy. A web application serves as the central hub for account management
and product addition, allowing companies to create accounts and add
their products. Prior to adding a product, the ontology layer validates the product's information against predefined rules using SWRL.
Subsequently, the Metamask wallet verification layer ensures that only
authorized users can add inventories to the blockchain.
To verify the authenticity of a product, a mobile application equipped with a QR code scanner enables consumers to quickly and conveniently
check the product's validity. Upon scanning the QR code, the application retrieves information stored on the blockchain and provides real-time
confirmation of the product's authenticity.
Through the integration of blockchain technology, ontology, and mobile applications, this anti-counterfeit system offers numerous benefits.
It boosts consumer confidence through the provision of transparency
and traceability., empowering consumers to make informed purchasing
decisions. For businesses, it enables them to protect their brand reputation, mitigate financial losses, and combat counterfeit activities effectively.
The results of this thesis demonstrate the feasibility and effectiveness of using blockchain and ontology in combating counterfeit products.
Future research directions may focus on en-hancing system performance, exploring interoperability with existing supply chain systems, and
investigating the integration of emerging technologies such as Internet of Things (IoT) for enhanced product tracking and verification.
Overall, this thesis contributes to the growing body of knowledge in the field of anti-counterfeiting systems and provides a solid foundation for further
advancements in ensuring product authenticity and consumer protection.