提高链下数据版权可追溯性的新NFT模型

Yulong Chen, Ziwei Wang, Xiangyu Liu, Xuetao Wei
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引用次数: 3

摘要

不可替代代币(nft)是代表现实世界对象的数字资产,如艺术、音乐和视频。然而,根据现行标准,NFT没有对链下数据的版权可追溯性进行规定,这极大地阻碍了NFT社区的可持续性。本文提出了一种新的NFT模型,它是一种以博弈论为基础的新的经济机制和两种补充算法的协同作用来处理脱链数据。首先提出了激励参与者维护链下原始数据的经济机制。然后,该模型包括版本算法和验证算法两种补充算法,用于验证NFT的所有权和版权。我们在以太坊的Solidity中实现了我们的模型,并基于最大的NFT市场OpenSea的真实数据集进行了实验。我们的评估表明,我们的模型对nft链下数据的版权可追溯性是一个有希望的尝试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New NFT Model to Enhance Copyright Traceability of the Off-chain Data
Non-Fungible Tokens (NFTs) are digital assets that represent real-world objects like art, music and videos. However, NFTs according to current standards have no provisions for the copyright traceability of the off-chain data, which greatly hinders the sustainability of the NFT community. In this paper, we propose a new NFT model, which is a synergy of a new economic mechanism backed by game theory and two supplementary algorithms to handle the off-chain data. The economic mechanism is first proposed to motivate participants to maintain the off-chain raw data. Then, the model includes two supplementary algorithms, the version algorithm and validation algorithm, to verify the NFT’s ownership and copyright. We implement our model in Solidity on Ethereum and conduct experiments based on the real-world dataset from the largest NFT marketplace OpenSea. Our evaluation demonstrates that our model is a promising attempt towards the copyright traceability of the off-chain data for NFTs.
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