Kalpana, R. and Priya, P. Indira and Manju, M and Anitha, R and Venusamy, Kanagaraj (2023) Implementing a Unique Identification System for Improved Traceability and Prevention of Counterfeit Drugs in the Supply Chain. In: 2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS), Erode, India.
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Implementing a Unique Identification System for Improved Traceability and Prevention of Counterfeit Drugs in the Supply Chain _ IEEE Conference Publication _ IEEE Xplore.pdf
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Abstract
Block chain technology provides a secure and impenetrable platform for locating and tracking counterfeit medications within the supply chain of the pharmaceutical industry. This research proposes a novel Block chain-Enabled Unique Identification System (BEUIS) designed to revolutionize traceability and combat counterfeit drugs. BEUIS leverages block chain technology to create an immutable and transparent ledger, ensuring the authenticity of pharmaceutical products at every stage of the supply chain. Through the integration of smart contracts, it automates verification processes, significantly enhancing efficiency and reliability. The decentralized nature of block chain minimizes the risk of data manipulation and establishes a trustworthy environment for all stakeholders. BEUIS also promotes interconnectivity, allowing seamless integration with existing systems, thus offering a scalable and sustainable approach to addressing the global counterfeit drug epidemic. This research presents a comprehensive framework, emphasizing the implementation of BEUIS as a pivotal solution to safeguard public health and restore trust in the pharmaceutical sector. Its transparency and immutability make it a promising solution for improving public health. By utilizing block chain technology, the system offers an extremely secure and unalterable platform for the system provides a highly secure and tamper-proof platform for detecting and tracking counterfeit drugs. Its transparency and immutability make it a promising solution for improving public health outcomes.
Item Type: | Conference or Workshop Item (Paper) |
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Subjects: | Computer Science > Software Engineering |
Divisions: | Computer Science |
Depositing User: | Mr IR Admin |
Date Deposited: | 21 Sep 2024 06:46 |
Last Modified: | 21 Sep 2024 06:46 |
URI: | https://ir.vistas.ac.in/id/eprint/6806 |