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Optimization of Digital Information Management of Financial Services Based on Artificial Intelligence in the Digital Financial Environment
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Author(s): Xin Li (Economics College, Jiaxing University, China), Jianxiang Zhang (Foshan University, China), Huizhen Long (Hong Kong Polytechnic University, Hong Kong), Yangfen Chen (Tianyuan College, China)and Anqi Zhang (Shanghai University of International Business and Economics, China)
Copyright: 2023
Volume: 35
Issue: 3
Pages: 17
Source title:
Journal of Organizational and End User Computing (JOEUC)
Editor(s)-in-Chief: Sangbing (Jason) Tsai (Wuyi University, China & International Engineering and Technology Institute (IETI), Hong Kong)and Wei Liu (Qingdao University, China)
DOI: 10.4018/JOEUC.318478
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Abstract
At present, society has entered the era of digital finance, and the information management system (IMS) of financial services has been developing rapidly, so the security of data has become particularly important. Firstly, some security techniques in IMS of financial services are introduced. Secondly, this study analyzes how to combine secure muti-party computation with blockchain technology to enhance the security of IMS. Finally, the feasibility and reliability of the scheme are verified by a comparative test. The experimental results reveal that the evaluation index score of the optimized scheme is higher than that of the traditional scheme. Meanwhile, in the comparative experiment of information data encryption, it can be seen that the running time of all schemes will improve with the increase of data. However, the increase rate of the optimized model in this study is much slower than that of the traditional model.
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