Non-Fungible Tokens (NFT): A Survey of Pricing Models, Security Issues and Future Directions
Qin Wang, Ruoxi Li, Qi Wang, Shiping Chen
Abstract
This paper offers a systematic survey of the NFT ecosystem, synthesizing current research on pricing mechanisms, security vulnerabilities, and technological advancements. The authors evaluate various valuation models, including hedonic pricing and machine learning approaches, to understand how market participants assign value to unique digital assets. Furthermore, the paper provides a detailed taxonomy of security risks, such as reentrancy attacks in minting contracts, metadata manipulation, and phishing in the NFT space. The survey also highlights future research trajectories, emphasizing the need for robust verification protocols and cross-chain interoperability. By providing this holistic view, the authors assist researchers and developers in identifying gaps in existing literature and understanding the structural challenges that must be addressed to scale NFTs for enterprise and institutional applications. It is a vital resource for understanding the multi-dimensional nature of NFT research.
Key Findings
- 1Valuation models for NFTs are heavily influenced by platform-specific community activity and rarity algorithms.
- 2Security vulnerabilities in NFT contracts primarily stem from poor implementation of standard logic and insecure off-chain dependencies.
- 3Future adoption depends on solving cross-chain liquidity and standardizing metadata verification.
- 4Current pricing models struggle to account for the volatility and speculative nature of new asset classes.
Topics
Citation
BibTeX
@misc{nonfungible2021,
title = {Non-Fungible Tokens (NFT): A Survey of Pricing Models, Security Issues and Future Directions},
author = {Qin Wang and Ruoxi Li and Qi Wang and Shiping Chen},
year = {2021},
howpublished = {\url{https://arxiv.org/abs/2105.07447}},
}Knowledge Explorer
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