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Blockchain Technology in Inclusive Finance Under the Background of Big Data

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Cyber Security Intelligence and Analytics (CSIA 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1343))

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Abstract

Big data finance is prone to cause information asymmetry, which enables it to achieve a better integration with blockchain technology. This research mainly discusses the application of blockchain technology in inclusive finance under the background of big data. First, according to the customer’s risk and value, transaction behavior characteristics and preferences, etc., the advanced database system and big data mining and analysis technology are used to make full use of the customer information they have. Then use social network technology and big data technology to realize online collection of customer information and timely processing of transaction data. Finally, in terms of resource allocation, in the GSP financial model based on blockchain technology, the relevant information of the supply and demand parties of funds is directly published on the network and matched by themselves, and the supply and demand parties of funds directly communicate and trade. It can be seen from the comparison of the average value of risk changes after using blockchain technology in the big data scenario: credit risk and operational risk are both lower than 2.5, and these two risks are considered to be overall risk reduction. This research provides active guidance for further improving the inclusive financial service system.

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References

  1. Xu, W., Zhou, H., Cheng, N., et al.: Internet of vehicles in big data era. IEEE/CAA J. Autom. Sinica 5(1), 19–35 (2018)

    Article  Google Scholar 

  2. Wang, X., Zhang, Y., Leung, V.C.M., et al.: D2D Big data: content deliveries over wireless device-to-device sharing in large scale mobile networks. IEEE Wirel. Commun. 25(1), 32–38 (2018)

    Article  Google Scholar 

  3. Al-Ali, A.R., Zualkernan, I.A., Rashid, M., et al.: A smart home energy management system using IoT and big data analytics approach. IEEE Trans. Consum. Electron. 63(4), 426–434 (2018)

    Article  Google Scholar 

  4. Gu, K., Tao, D., Qiao, J.F., et al.: Learning a no-reference quality assessment model of enhanced images with big data. IEEE Trans. Neural Netw. Learn. Syst. 29(4), 1301–1313 (2018)

    Article  Google Scholar 

  5. Zhang, N., Yang, P., Ren, J., et al.: Synergy of big data and 5G wireless networks: opportunities, approaches, and challenges. IEEE Wirel. Commun. 25(1), 12–18 (2018)

    Article  Google Scholar 

  6. Mohammadi, M., Al-Fuqaha, A.: Enabling cognitive smart cities using big data and machine learning: approaches and challenges. IEEE Commun. Mag. 56(2), 94–101 (2018)

    Article  Google Scholar 

  7. Andre, J.C., Antoniu, G., Asch, M., et al.: Big data and extreme-scale computing: pathways to convergence - toward a shaping strategy for a future software and data ecosystem for scientific inquiry. Int. J. High Perform. Comput. Appl. 32(4), 435–479 (2018)

    Article  Google Scholar 

  8. Xiao-Li, M.: Statistical paradises and paradoxes in big data (I): law of large populations, big data paradox, and the 2016 US presidential election. Ann. Appl. Stat. 12(2), 685–726 (2018)

    Article  MathSciNet  Google Scholar 

  9. Mann, L.: Left to other peoples’ devices? A political economy perspective on the big data revolution in development. Dev. Chang. 49(1), 3–6 (2018)

    Article  Google Scholar 

  10. Duan, M., Li, K., Liao, X., et al.: A parallel multiclassification algorithm for big data using an extreme learning machine. IEEE Trans. Neural Netw. Learn. Syst. 29(6), 2337–2351 (2018)

    Article  MathSciNet  Google Scholar 

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Author information

Authors and Affiliations

  1. Northeast Agricultural University, Harbin, 150030, Heilongjiang, China

    Jiayi Han & Yuze Ma

Authors
  1. Jiayi Han
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  2. Yuze Ma
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Corresponding author

Correspondence to Yuze Ma .

Editor information

Editors and Affiliations

  1. Shanghai University of Medicine and Health Sciences, Shanghai, China

    Zheng Xu

  2. Department Software Engineering and Game Development, Kennesaw State University, Marietta, GA, USA

    Reza M. Parizi

  3. School of Engineering and Sciences, Tecnologico de Monterrey, Puebla, Mexico

    Octavio Loyola-González

  4. Assistant Professor in Practice, University of Texas at San Antonio, Boerne, TX, USA

    Xiaolu Zhang

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Han, J., Ma, Y. (2021). Blockchain Technology in Inclusive Finance Under the Background of Big Data. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1343. Springer, Cham. https://doi.org/10.1007/978-3-030-69999-4_30

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