International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
권호 표지
DOI QR코드

DOI QR Code

A Brief Survey of the Uses of Non-Fungible Tokens

  • Zain Patras (Department of Computer Sciences, Forman Christian College, A Chartered University) ;
  • Sidra Minhas (Department of Computer Sciences, Forman Christian College, A Chartered University)
  • Received : 2024.07.05
  • Published : 2024.07.30
Download PDF
⟨ Previous Next ⟩

Abstract

Non-fungible tokens (NFTs) are interchangeable rights to digital assets such as art, in-game items, collectibles or music, etc. NFTs have the potential to be infinitely useful in many industries by increasing security and processing costs for transactions and providing a new platform for the gigeconomy to work through. Its markets have grown fast and significantly since early 2021. We investigate the uses of NFTs and research the facts and figures on the usage of NFTs supporting websites. Using daily data between 2019 to 2021. NFTs took the world by storm in 2021, bringing forth a digital art revolution while becoming one of the fastest-growing asset classes of the year. While the NFTs market has been growing at a rapid pace, many are still wary of entering it because of the theoretical insanity around its worth. NFTs have been out there for quite some time and this trend doesn't plan to go any further. NFTs services have many practical use cases and their potential will only grow over time. While celebrities dive into this marketplace to maintain their onlinepresence andincrease their Net worth.

Keywords

References

  1. Sikkandar, Mohamed Yacin. "Design a Contactless ZENO- Exclusive NFT Arthttps://www.zenofineart.com/pages/nft-sales-zenofineart 
  2. Chohan, Usman W. and Chohan, UsmanW., Non-Fungible Tokens:Blockchains, Scarcity, and Value (March 24, 2021).Critical Blockchain Research Initiative(CBRI) Working Papers, 2021 , Available at SSRN: https://ssrn.com/abstract=3822743orhttp://dx.doi.org/10.2139/ssrn.3822743 
  3. Jieli Liu; Jiatao Zheng; Jiajing Wu; Zibin Zheng., FA-GNN: Filter and Augment Graph Neural Networks for Account Classification in Ethereum. IEEE Transactions on Network Science and Engineering , DOI:10.1109/TNSE.2022.3166655 
  4. K. Martinez, J. Cupitt, and D. Saunders, "High resolution colorimetric imaging of paintings", Proc. SPIE, Vol. 1901, pp. 25-36, Jan.1993. 
  5. M. Ali, S. Bagui, Introduction to NFTs: The future of digital collectibles, IJACSA 12(2021), doi:10.14569/IJACSA.2021.0121007. 
  6. Y.Chen, X.Fang, D.Ding, J.Xiong, and L. Zhang, "NFT-Domain Least Square Channel Estimation Method for Polarization Division Multiplexed NFDM Systems, " inAsia Communications and Photonics Conference 2021,
  7. C. Chang-Hasnain, A.Willner, W. Shieh, P. Shum, Y. Su, G. Li, B.Eggleton, R. Essiambre, D. Dai, and D. Ma, eds., Technical Digest Series (Optica Publishing Group, 2021), paper T4A.58.https://opg.optica.org/abstract.cfm?URI=ACPC-2021-T4A.58 
  8. Samuel Sousa, Christian Guetl, Roman Kern, Privacy in Open Search: A Review of Challenges and Solutions, inOSSYM 2021 - Third International Open Search Symposium, DOI: https://doi.org/10.5281/zenodo.5887680 
  9. Qin Wang, Rujia Li, Qi Wang andShiping Chen Cryptography and Security(cs.CR).arXiv:2105.07447 [cs.CR].https://doi.org/10.48550/arXiv.2105.07447 
  10. Chohan, Usman W., Web 3.0: The Future Architecture of the Internet?(February 7, 2022). Available at SSRN:https://ssrn.com/abstract=4037693 orhttp://dx.doi.org/10.2139/ssrn.4037693