A Fintech Platform Using Blockchain Smart Contract

Jaekyung Nam, Min Choi

Abstract


Though few blockchain-based payment services are currently available, this is expected to change in 2018, as investment has poured in from banks to explore blockchain’s potential. This creates the potential for developing live blockchain payment processing solutions and trade finance deployments. However, current blockchain technology is unsuitable for real-world applications owing to various limitations. Bitcoin is simply a “virtual†currency or “cyber†money because blockchain does not support owner identification. This study combines credit card payments and a blockchain network to overcome this limitation. If there is no connection between the credit card payment system and the blockchain network, blockchain ciphers like Bitcoin will remain a “virtual†currency or “cyber†money forever. This paper presents a challenging study involving blockchain and financial technology (fintech). Furthermore, we must consider the integration approach in terms of performance. Even the performance of state-of-the-art blockchain platforms cannot meet fintech application standards in the real world. In order to resolve performance issues related to a blockchain network while processing credit card transactions, we exploit the overlay network concept to separate the credit card network from the relatively slow blockchain peer-to-peer (P2P) network. In this paper, we presented the details of the data preparation, assessment metrics, and evaluation of our method. We also described the experimental results for the fintech platform using blockchain smart contracts.

Keywords


Fintech; blockchain; credit card payment platform; overlay network

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References


D. Lee, Personalizing Information Using Users' Online Social Networks: A Case Study of CiteULike. Journal of Information Processing Systems vol.11, no. 1, pp. 1-21, 2015.

A. Corbellini, D. Godoy, C. Mateos, S. Schiaffino, A. Zunino, DPM: A novel distributed large-scale social graph processing framework for link prediction algorithms. Future Generation Computer Systems, 2017 doi: 10.1016/j.future.2017.02.025.

D. Buchner, O. Steele, T. Ronda, “DIF Sidetree v1.0.0â€, https://identity.foundation/sidetree/api/

M. Hoffman, D. Steinley, M. J. Brusco, A note on using the adjusted Rand index for link prediction in networks. Social Networks 42, pp. 72-79, 2021.

L. Lü, T. Zhou, Link prediction in complex networks: A survey. Physica A: Statistical Mechanics and its Applications 390 6, pp. 1150-1170, 2011.

M. Pujari, R. Kanawati, Supervised rank aggregation approach for link prediction in complex networks. In Proceedings of the 21st International Conference on World Wide Web, pp. 1189-1196, ACM, 2012.

Zheng, Z.; Xie, S.; Dai, H.-N.; Chen, W.; Chen, X.; Weng, J.; Imran, M. An overview on smart contracts: Challenges, advances and platforms. Future Gener. Comput. Syst. 105, pp. 475–491, 2020.

Y. L. He, J. N. Liu, Y. X. Hu, X. Z. Wang, OWA operator based link prediction ensemble for social network. Expert Systems with Applications 42 1, pp. 21-50, 2020.

L. Marchesi, M. Marchesi, G. Destefanis, G. Barabino, D. Tigano, Design patterns for gas optimization in ethereum., 2020 IEEE InternationalWorkshop on Blockchain Oriented Software Engineering (IWBOSE), 2020.

J.Y. Ding, L.C. Jiao, J.S. Wu, Y.T. Hou, Y.T. Qi, Prediction of missing links based on multi-resolution community division, Physica A 417 1, pp. 76–85, 2019

B.L. Chen, L. Chen, B. Li, A fast algorithm for predicting links to nodes of interest, Information Sciences 329, p 552–567, 2016.

T. Hewa, M. Ylianttila, M. Liyanage, Survey on blockchain based smart contracts: Applications, opportunities and challenges., J. Netw. Comput. Appl., 177, 2021.

S. Khan, F. Loukil, C. Ghedira-Guegan, E. Benkhelifa, A. Bani-Hani, Blockchain smart contracts: Applications, challenges, and future trends. Peer Peer Netw. Appl. 14, pp. 2901–2925, 2021.

A. Khatoon, A blockchain-based smart contract system for healthcare management. Electronics, 9 94, 2020.

S. Wang, L. Ouyang, Y. Yuan, X. Ni, X. Han, F. Wang, Blockchain-enabled smart contracts: Architecture, applications, and future trends. IEEE Trans. Syst. Man Cybern. Syst. 49, pp. 2266–2277, 2019.

H. Taherdoost, Critical Review of Blockchain Acceptance Models—Blockchain Technology Adoption Frameworks and Applications., Computers 11 24, 2022.

S. Chang, Y. Chen, M. Lu, Supply chain re-engineering using blockchain technology: A case of smart contract based tracking process. Technol. Forecast. Soc. Change 144, pp. 1–11, 2019.

A. Dolgui, D. Ivanov, S. Potryasaev, B. Sokolov, M. Ivanova, F. Werner, Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain. Int. J. Prod. Res. 58, pp. 2184–2199, 2020.

P. Wang, B. Xu, Y. Wu, X. Zhou, Link prediction in social networks: the state-of-the-art. Science China Information Sciences 58 1, pp. 1-38, 2015.

C. M. Liu, M. Badigineni, and S. W. Lu, "Adaptive Blocksize for IoT payload data on fabric blockchain," in Proceedings of 2021 30th Wireless and Optical Communications Conference (WOCC), Taipei, Taiwan, pp. 92-96, 2021.

K. H. Kwak, J. T. Kong, S. I. Cho, H. T. Phuong, and G. Y . Gim, "A study on the design of efficient private blockchain," in Computational Science/Intelligence & Applied Informatics. Cham, Germany: Springer, pp. 93-121, 2019.

D. C. Kim, Y . H. Kim, Y . Kwon, and H. W. Kim, "Proposal of IoT platform interworking framework model using blockchain technology," Proceedings of the Korea Information Processing Society Conference, vol. 29, no. 1, pp. 124-127, 2022.

E. N. Witanto, Y . E. Oktian, S. G. Lee, and J. H. Lee, "A blockchain-based OCF firmware update for IoT devices," Applied Sciences, vol. 10, no. 19, article no. 6744, 2020.

S. Jeong, J. H. Shen, and B. Ahn, "A study on smart healthcare monitoring using IoT based on blockchain," Wireless Communications and Mobile Computing, vol. 2021.

AishaAbdallahMohd AizainiMaarofAnazidaZainal, Fraud detection system: A survey, Journal of Network and Computer Applications, Volume 68, pp. 90-113 June 2016.

Seokjin Shin, SeonyongEom, and Min Choi, Soft Core Firmware-Based Board Management Module for High Performance Blockchain/Fintech Servers, Article number: 12:03, 2022.

Abir El Azzaoui, Min Yeong Choi, Chang Hoon Lee, and Jong Hyuk Park, Scalable Lightweight Blockchain-Based Authentication Mechanism for Secure VoIP Communication, Article number: 12:08, 2022.

Abir EL Azzaoui, Tae Woo Kim1, Yi Pan, and Jong Hyuk Park, A Quantum Approximate Optimization Algorithm Based on Blockchain Heuristic Approach for Scalable and Secure Smart Logistics Systems, Article number: 11:46, 2021.

Y. Sung and Y. Won, "Implementation of Quality Management System for Wild-Simulated Ginseng Using Blockchain," Journal of Information Processing Systems, vol. 18, no. 2, pp. 173-187, 2022. doi: 10.3745/JIPS.04.0237.

Y. K. Lee, J. W. Seo and S. Y. Park, "Matrix Character Relocation Technique for Improving Data Privacyin Shard-Based Private Blockchain Environments," KIPS Transactions on Computer and Communication Systems, vol. 11, no. 2, pp. 51-58, 2022. doi: 10.3745/KTCCS.2022.11.2.51.




DOI: http://dx.doi.org/10.18517/ijaseit.13.4.19025

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