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NFT Security Matrix: Towards Modeling NFT Ecosystem Threat

Peng Liao1, Chaoge Liu2, Jie Yin1,3,*, Zhi Wang2, Xiang Cui2

1 Key Laboratory of Trustworthy Distributed Computing and Service, Beijing University of Posts and Telecommunications, Beijing, 100876, China
2 Zhongguancun Laboratory, Beijing, 100094, China
3 Institute of Information Engineering, Chinese Academy of Sciences, Beijing, 100085, China

* Corresponding Author: Jie Yin. Email: email

(This article belongs to the Special Issue: The Bottleneck of Blockchain Techniques: Scalability, Security and Privacy Protection)

Computer Modeling in Engineering & Sciences 2024, 139(3), 3255-3285. https://doi.org/10.32604/cmes.2024.043855

Abstract

Digital assets have boomed over the past few years with the emergence of Non-fungible Tokens (NFTs). To be specific, the total trading volume of digital assets reached an astounding $55.5 billion in 2022. Nevertheless, numerous security concerns have been raised by the rapid expansion of the NFT ecosystem. NFT holders are exposed to a plethora of scams and traps, putting their digital assets at risk of being lost. However, academic research on NFT security is scarce, and the security issues have aroused rare attention. In this study, the NFT ecological process is comprehensively explored. This process falls into five different stages encompassing the entire lifecycle of NFTs. Subsequently, the security issues regarding the respective stage are elaborated and analyzed in depth. A matrix model is proposed as a novel contribution to the categorization of NFT security issues. Diverse data are collected from social networks, the Ethereum blockchain, and NFT markets to substantiate our claims regarding the severity of security concerns in the NFT ecosystem. From this comprehensive dataset, nine key NFT security issues are identified from the matrix model and then subjected to qualitative and quantitative analysis. This study aims to shed light on the severity of NFT ecosystem security issues. The findings stress the need for increased attention and proactive measures to safeguard the NFT ecosystem.

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Cite This Article

APA Style
Liao, P., Liu, C., Yin, J., Wang, Z., Cui, X. (2024). NFT security matrix: towards modeling NFT ecosystem threat. Computer Modeling in Engineering & Sciences, 139(3), 3255-3285. https://doi.org/10.32604/cmes.2024.043855
Vancouver Style
Liao P, Liu C, Yin J, Wang Z, Cui X. NFT security matrix: towards modeling NFT ecosystem threat. Comput Model Eng Sci. 2024;139(3):3255-3285 https://doi.org/10.32604/cmes.2024.043855
IEEE Style
P. Liao, C. Liu, J. Yin, Z. Wang, and X. Cui, “NFT Security Matrix: Towards Modeling NFT Ecosystem Threat,” Comput. Model. Eng. Sci., vol. 139, no. 3, pp. 3255-3285, 2024. https://doi.org/10.32604/cmes.2024.043855



cc Copyright © 2024 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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