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Software Defined Networking and Network Function Virtualization for improved data privacy using the emergent blockchain in banking systems

  • ALRUWAILI, Anfal (Department of computer Science, College of Computer and Information Sciences, Jouf University) ;
  • Hendaoui, Saloua (Department of computer Science, College of Computer and Information Sciences, Jouf University)
  • Received : 2021.08.05
  • Published : 2021.08.30

Abstract

Banking systems are sensitive to data privacy since users' data, if not well protected, may be used to perform fake transactions. Blockchains, public and private, are frequently used in such systems thanks to their efficiency and high security. Public blockchains fail to fully protect users' data, despite their power in the accuracy of the transactions. The private blockchain is better used to protect the privacy of the sensitive data. They are not open and they apply authorization to login into the blockchain. However, they have a lower security compared to public blockchain. We propose in this paper a hybrid public-private architecture that profits from network virtualization. The main novelty of this proposal is the use of network virtualization that helps to reduce the complexity and efficiency of the computations. Simulations have been conducted to evaluate the performance of the proposed solution. Findings prove the efficiency of the scheme in reducing complexity and enhancing data privacy by guarantee high security. The contribution conducted by this proposal is that the results are verified by the centralized controller that ensures a correct validation of the resulted blockchains. In addition, computation complexity is to be reduced by profiting from the cooperation performed by the virtual agents.

Keywords

Acknowledgement

The authors would like to thank the Deanship of Graduate Studies at Jouf University for funding and supporting this research through the initiative of DGS, Graduate Students Research Support (GSR) at Jouf University, Saudi Arabia.

References

  1. H. Sun, H. Mao, X. Bai, Z. Chen, K. Hu and W. Yu, "MultiBlockchain Model for Central Bank Digital Currency," 2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT), 2017, pp. 360-367, doi: 10.1109/PDCAT.2017.00066.
  2. Hao Wang, Shenglan Ma, Hong-Ning Dai, Muhammad Imran, Tongsen Wang, Blockchain-based data privacy management with Nudge theory in open banking, Future Generation Computer Systems, Volume 110, 2020, Pages 812-823, ISSN 0167-739X, https://doi.org/10.1016/j.future.2019.09.010.
  3. X. Han, Y. Yuan and F. Wang, "A Blockchain-based Framework for Central Bank Digital Currency," 2019 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI), 2019, pp. 263-268, doi: 10.1109/SOLI48380.2019.8955032.
  4. Dai W., Gu X., Teng Y. (2020) A Supervised Anonymous Issuance Scheme of Central Bank Digital Currency Based on Blockchain. In: Qiu M. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2020. Lecture Notes in Computer Science, vol 12454. Springer, Cham. https://doi.org/10.1007/978-3-030-60248-2_32
  5. N. R. Bagrecha, I. Mustafa Polishwala, P. A. Mehrotra, R. Sharma and B. S. Thakare, "Decentralised Blockchain Technology: Application in Banking Sector," 2020 International Conference for Emerging Technology (INCET), 2020, pp. 1-5, doi: 10.1109/INCET49848.2020.9154115.
  6. I. Ahmed, Shilpi, and M. Amjad, "Blockchain Technology A Literature Survey," Oct 2018 Volume: 05 Issue: 10 International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056.
  7. Michael Kretzschmar, S Hanigk, "Security management interoperability challenges for collaborative clouds", Systems and Virtualization Management (SVM), 2010, Proceedings of the 4th International DMTF Academic Alliance Workshop on Systems and Virtualization Management: Standards and the Cloud, pp. 43-49, October 25-29, 2010. ISBN:978-1-4244-9181-0,DOI: 10.1109/SVM.2010.5674744