Abstract
The domain of animal healthcare mandates robust mechanisms for maintaining the sanctity, reachability, and security of medical record. This paper delineates a cutting-edge methodology to overhaul traditional animal medical record handling by utilizing blockchain techniques. Through the strategic incorporation of Non-Fungible Tokens (NFTs), the InterPlanetary File System (IPFS), and Smart Contracts, we propose a versatile system that refines data retrieval and modification processes, bolstering both accountability and dependability. At the heart of our strategy lies a pioneering decentralized framework, empowering veterinary professionals with the tools to input, retrieve, and edit medical records, all the while being enveloped by rigorous access and identity validation measures. The inherent decentralized properties of IPFS furnish steadfast and immutable data retention capabilities, whilst the NFTs encapsulate the distinct medical trajectories of each animal. Through the symbiotic relationship of Smart Contracts, a fluid and unalterable lineage of medical logs is preserved. As a marked departure from traditional paradigms, our blueprint promises augmented safety, streamlined data operations, and unparalleled lucidity, marking the dawn of a transformative phase in animal healthcare.
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Notes
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Pinata: A leading developer API for IPFS https://www.pinata.cloud/.
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The valuation of the tokens on the selected platforms is noted as of 9/09/2023, 4:00:00 PM UTC.
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Acknowledgements
We extend our deepest gratitude to Engineer Le Thanh Tuan and Dr. Ha Xuan Son, who have been invaluable assets throughout the conceptualization, practical execution, and assessment phases of this research project. Additionally, this endeavor received instrumental backing from FPT University’s Cantho Campus in Vietnam, whose support facilitated the successful completion of this work.
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Quy, T.L. et al. (2024). Blockchain-Driven Animal Healthcare: Leveraging NFTs, IPFS, and Smart Contracts for Comprehensive Animal Medical Record. In: Bouzefrane, S., Banerjee, S., Mourlin, F., Boumerdassi, S., Renault, É. (eds) Mobile, Secure, and Programmable Networking. MSPN 2023. Lecture Notes in Computer Science, vol 14482. Springer, Cham. https://doi.org/10.1007/978-3-031-52426-4_8
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