This paper examines the potential of integrating blockchain technology, encrypted Non-Fungible Tokens (NFTs), and the InterPlanetary File System (IPFS) to advance knowledge management systems, particularly within academic settings. We propose an architecture that addresses the limitations of traditional knowledge management systems by enhancing data security, copyright protection, and accessibility. The system leverages blockchain’s immutable and transparent properties, IPFS’s decentralized storage capabilities, and the unique identification features of NFTs secured with six encryption algorithms—RSA, RC4, DES, ChaCha20, Blowfish, and AES. The study involves deploying smart contracts on four Ethereum Virtual Machine (EVM)-compatible platforms—Binance Smart Chain, Polygon, Fantom, and Celo—to assess each platform’s effectiveness in managing encrypted NFTs and to identify the optimal encryption method for operational efficiency. Our findings aim to demonstrate how these technologies can potentially enhance the robustness and efficiency of knowledge management in academic environments.

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Revolutionizing Knowledge Management: Utilizing Encrypted NFTs, Smart Contract and IPFS Within Blockchain Technologies

  • L. K. Bang,
  • P. H. T. Trung,
  • N. Ɖ. P. Trong,
  • K. T. N. Ngan

摘要

This paper examines the potential of integrating blockchain technology, encrypted Non-Fungible Tokens (NFTs), and the InterPlanetary File System (IPFS) to advance knowledge management systems, particularly within academic settings. We propose an architecture that addresses the limitations of traditional knowledge management systems by enhancing data security, copyright protection, and accessibility. The system leverages blockchain’s immutable and transparent properties, IPFS’s decentralized storage capabilities, and the unique identification features of NFTs secured with six encryption algorithms—RSA, RC4, DES, ChaCha20, Blowfish, and AES. The study involves deploying smart contracts on four Ethereum Virtual Machine (EVM)-compatible platforms—Binance Smart Chain, Polygon, Fantom, and Celo—to assess each platform’s effectiveness in managing encrypted NFTs and to identify the optimal encryption method for operational efficiency. Our findings aim to demonstrate how these technologies can potentially enhance the robustness and efficiency of knowledge management in academic environments.