The emergence of blockchain technology represents a significant advancement in the field of computer science.
Blockchain, an innovative technology that functions as a decentralized and publicly accessible record of all financial
transactions, has significantly transformed the manner in which commercial activities are conducted. Companies and large-
scale technology corporations have started substantial investments in the blockchain industry, a sector that experts forecast
will exceed a valuation of $3 trillion during the next five-year period. The surge in its popularity may be ascribed to its
robust security measures and comprehensive resolution for all issues pertaining to digital identity. The system in question
is a decentralized digital ledger. A blockchain refers to an immutable and decentralized ledger composed of blocks, which
function as collections of entries. The interconnection among these blocks is secured using encryption. The blockchain
technology is captivating due to its inherent qualities, and it has significant potential in several domains owing to its desired
attributes such as decentralization, transparency, and irreversibility. While blockchain technology is now most prominently
associated with cryptocurrency, it has a diverse array of potential applications. This article aims to explore the many
applications of blockchain in the domains of voting mechanisms, Internet of Things (IoT), supply chains, and identity
management.
S. Tanwar, “Decentralization and architecture of blockchain technology,” in Studies in Autonomic, Data-driven and Industrial Computing, Singapore: Springer Nature Singapore, 2022, pp. 63–81.
U. Jafar, M. J. A. Aziz, and Z. Shukur, “Blockchain for electronic voting system—review and open research challenges,” Sensors (Basel), vol. 21, no. 17, p. 5874, 2021.
A. Mukherjee, S. Majumdar, A. K. Kolya, and S. Nandi, “A privacy-preserving blockchain-based E-voting system,” arXiv [cs.CR], 2023.
K. Li, H. Li, H. Hou, K. Li, and Y. Chen, “Proof of vote: A high-performance consensus protocol based on vote mechanism & consortium blockchain,” in 2017 IEEE 19th International Conference on High Performance Computing and Communications; IEEE 15th International Conference on Smart City; IEEE 3rd International Conference on Data Science and Systems (HPCC/SmartCity/DSS), 2017.
A. Fatrah, S. El Kafhali, K. Salah, and A. Haqiq, “Transparent blockchain-based voting system: Guide to massive deployments,” in Advances
in Intelligent Systems and Computing, Cham: Springer International Publishing, 2021, pp. 237–246
M. A. N. Agi and A. K. Jha, “Blockchain technology in the supply chain: An integrated theoretical perspective of organizational adoption,” Int. J. Prod. Econ., vol. 247, no. 108458, p. 108458, 2022.
D. Oviedo et al., “Accessibility and sustainable mobility transitions in Africa: Insights from Freetown,” J. Transp. Geogr., vol. 105, no. 103464, p. 103464, 2022.
C. C. Williams, “Explaining the informal economy: An exploratory evaluation of competing perspectives,” Relat. Ind., vol. 70, no. 4, pp. 741–765, 2016.
F. Buccafurri, G. Lax, S. Nicolazzo, and A. Nocera, “Tweetchain: An alternative to blockchain for crowd-based applications,” in Lecture Notes in Computer Science, Cham: Springer International Publishing, 2017, pp. 386–393.
B. Kaur et al., “Internet of Things (IoT) security dataset evolution: Challenges and future directions,” Internet of Things, vol. 22, no. 100780, p. 100780, 2023.
K. N. Isnaini and D. Suhartono, “Evaluation of basic principles of information security at University using COBIT 5,” J. Matrik, vol. 21, no. 2, pp. 317–326, 2022.
J. Moosavi, L. M. Naeni, A. M. Fathollahi-Fard, and U. Fiore, “Blockchain in supply chain management: a review, bibliometric, and network analysis,” Environ. Sci. Pollut. Res. Int., 2021.
“How monegraph uses the block chain to verify digital assets,” Monegraph, 21-May-2021. [Online]. Available: https://www.monegraph.com/how-monegraph-uses-the-block-chain-to-verify-digital-assets/. [Accessed: 20-Aug-2023].
S. Nanayakkara, M. N. N. Rodrigo, S. Perera, G. T. Weerasuriya, and A. A. Hijazi, “A methodology for selection of a Blockchain platform to develop an enterprise system,” J. Ind. Inf. Integr., vol. 23, no. 100215, p. 100215, 2021.
Y. Liu, D. He, M. S. Obaidat, N. Kumar, M. K. Khan, and K.-K. Raymond Choo, “Blockchain-based identity management systems: A review,” J. Netw. Comput. Appl., vol. 166, no. 102731, p. 102731, 2020.
A. R and A. H, “Advantages, Methods and System Architecture of Spectral Imaging in Biomedical Engineering,” Journal of Biomedical and Sustainable Healthcare Applications, pp. 51–58, Jan. 2022, doi: 10.53759/0088/jbsha202202007.
C.-G. Koa, S.-H. Heng, and J.-J. Chin, “ETHERST: Ethereum-based public Key Infrastructure identity management with a reward-and-punishment mechanism,” Symmetry (Basel), vol. 13, no. 9, p. 1640, 2021.
Acknowledgements
Authors thanks to Department of Computer Engineering for this research support.
Funding
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea Government (MSIT (No.2022R1F1A1063340)).
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Yangsun Lee
Yangsun Lee
Department of Computer Engineering, Seokyeong University, 16-1 Jungneung-Dong, Sungbuk-Ku, Seoul 02713, Korea.
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Cite this article
Yangsun Lee, “An in Depth Analysis of Blockchain Technology and its Potential Industrial Applications”, Journal of Machine and Computing, vol.3, no.4, pp. 534-544, October 2023. doi: 10.53759/7669/jmc202303045.