Optimization of Digital Information Management of Financial Services Based on Artificial Intelligence in the Digital Financial Environment

Optimization of Digital Information Management of Financial Services Based on Artificial Intelligence in the Digital Financial Environment

Xin Li, Jianxiang Zhang, Huizhen Long, Yangfen Chen, Anqi Zhang
Copyright: © 2023 |Pages: 17
DOI: 10.4018/JOEUC.318478
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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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Digital finance is the integration of digital technology and finance, which refers to using the Internet, cloud computing, blockchain, and other digital technologies to innovate products and services provided by traditional financial institutions (Mosteanu & Faccia, 2020). Financial services’ digital information management system (IMS) has been gradually optimized in this environment. However, with the progress of current digital emerging technologies, data privacy has become a thorny issue. Therefore, privacy computing technology comes into being (Kuznetsov et al., 2021).

Secure Muti-party Computing (SMPC), one of the privacy computing technologies, uses cryptography to protect data privacy, realize data circulation and sharing, and maximize its value, so it has received extensive attention in recent years. However, common SMPC protocols focus on developing a single practice plan for each scenario, and there are problems such as unverifiable data calculation results and an opaque calculation process, which make it difficult for the calculation party to pursue responsibility. On the other hand, blockchain technology is committed to establishing point-to-point trusted value transfer between unfamiliar nodes, and it can realize the safe sharing of data by using cryptography and consensus mechanism (Liu et al., 2020). The combination of blockchain and privacy computing not only ensures the reliability of input data but also hides the operation process (Kabir & Papadopoulos, 2019; Yan et al., 2019). However, privacy computing technology still has many problems. For example, we can infer the required password from other keys, so the protection ability is not very strong. Hence, how to solve these problems is one of the purposes and significance of the current research.

Based on this foundation, a privacy protection scheme using SMPC based on blockchain is explored to facilitate secure data sharing and collaborative computing. Firstly, related technologies of SMPC are introduced. Secondly, this study describes blockchain technology and again expounded on how to combine the two technologies to optimize the encryption scheme. Finally, a comparative test is conducted to verify the optimized scheme of this study. The innovation point is to optimize blockchain technology by integrating the two technologies and providing ideas for the optimization direction of blockchain technology (Chen et al., 2022).

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