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Internet Financial Risk Forecast System Based on Artificial Intelligence Algorithm

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Cyber Security Intelligence and Analytics (CSIA 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 123))

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Abstract

Artificial intelligence is a new field that has developed in recent years. It has a certain degree of application in finance, network and biomedicine. At present, Internet finance is developing rapidly in my country. Among them, the P2P online loan platform model has the fastest and hottest development and has become a typical representative of Internet finance. This article mainly uses the experimental investigation method and statistical analysis method to study the financial and financial indicators of Internet companies, and combines artificial intelligence algorithms to model the forecasting system. Through the overall survey, it is found that the fluctuations in the various capabilities of an Internet company have fallen, and by 2021 it will fall to 0.36 solvency. This shows that with the acceleration of the Internet, financial and financial risks are becoming more and more frequent, which requires us to predict the risks. Therefore, the study of the forecasting system in this article is particularly important.

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Author information

Authors and Affiliations

  1. School of Finance, Xi’an Eurasia University, Xi’an, 710065, Shaanxi, China

    Lianying Ge & Yachen Shen

  2. University of South Wales, Sydney, Australia

    K. Vijayakumar

Authors
  1. Lianying Ge
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  2. Yachen Shen
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  3. K. Vijayakumar
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Editor information

Editors and Affiliations

  1. School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai, China

    Zheng Xu

  2. Department of Information Systems and Security, College of IT, United Arab Emirates University (UAEU), Abu Dhabi, United Arab Emirates

    Saed Alrabaee

  3. Altair Management Consultants, Madrid, Spain

    Octavio Loyola-González

  4. Department of Info Systems & Cyber Security, University of Texas at San Antonio, San Antonio, TX, USA

    Xiaolu Zhang

  5. Informatics Faculty, Telkom University, Bandung, Indonesia

    Niken Dwi Wahyu Cahyani

  6. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Parit Raja, Johor, Malaysia

    Nurul Hidayah Ab Rahman

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© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Ge, L., Shen, Y., Vijayakumar, K. (2022). Internet Financial Risk Forecast System Based on Artificial Intelligence Algorithm. In: Xu, Z., Alrabaee, S., Loyola-González, O., Zhang, X., Cahyani, N.D.W., Ab Rahman, N.H. (eds) Cyber Security Intelligence and Analytics. CSIA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 123. Springer, Cham. https://doi.org/10.1007/978-3-030-96908-0_18

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