Optimization of Digital Information Management of Financial Services Based on Artificial Intelligence in the Digital Financial Environment
【Author】 Li, Xin; Zhang, Jianxiang; Long, Huizhen; Chen, Yangfen; Zhang, Anqi
【Source】JOURNAL OF ORGANIZATIONAL AND END USER COMPUTING
【影响因子】7.400
【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.
【Keywords】Artificial Intelligence; Blockchain Technology; Digital Finance; Digital Information Management System; Secure Muti-Party Computation
【发表时间】2023
【收录时间】2023-06-30
【文献类型】
【主题类别】
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【DOI】 10.4018/JOEUC.318478
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