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This paper investigates the implementation of modular division in improving the efficiency and security of numerical partitioning techniques, particularly for Non-Fungible Token (NFT) systems. In comparison with traditional partitioning methods like addition-based and logarithmic techniques, which are plagued by shortcomings such as collision errors and limited versatility, modular division is a safer, collision-free, and computationally efficient technique. By enabling direct mapping of NFT fractions to wallet addresses without intermediary tokens, this method enhances transparency and tamper-proof distribution of ownership. The study also contrasts modular division with other partitioning algorithms, showing its superiority in security and scalability.

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Scalable Identification Framework for Fractional Non-Fungible Tokens Using Modular Algorithm

  • 会议论文

  • 发表日期：

    2026年

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  • Thiagarajan Kittappa,
  • A. Merlin,
  • S. Lakshmi Priya,
  • V. Malini,
  • B. Jayalakshmi,
  • S. Brahnam

摘要

This paper investigates the implementation of modular division in improving the efficiency and security of numerical partitioning techniques, particularly for Non-Fungible Token (NFT) systems. In comparison with traditional partitioning methods like addition-based and logarithmic techniques, which are plagued by shortcomings such as collision errors and limited versatility, modular division is a safer, collision-free, and computationally efficient technique. By enabling direct mapping of NFT fractions to wallet addresses without intermediary tokens, this method enhances transparency and tamper-proof distribution of ownership. The study also contrasts modular division with other partitioning algorithms, showing its superiority in security and scalability.