Guest Editorial: Special Issue on Big Data and Computational Social Intelligence for Guaranteed Financial Security.

Changjun Jiang,Fei-Yue Wang ,Mengchu Zhou,Asoke K. Nandi,Guanjun Liu

IEEE Trans. Comput. Soc. Syst.（2024）

引用 0|浏览2

暂无评分

摘要

The innovations in technologies have led to the emergence of digital finance such as online payment, online insurance, online lending, and supply chain finance. Digital finance has greatly facilitated people’s lives, accelerated the circulation of capital in various fields, and enhanced the vitality of financial markets. However, it exposes many increasing risks and hidden dangers such as stock volatility, trading fraud, credit card fraud, and privacy leakage [1] , [2] , [3] , [4] , [5] , [6] , [7] . How to effectively calculate, control, manage, and utilize financial big data and make full use of artificial intelligence technology to ensure financial security is an important research question. Solving it faces many challenges. These challenges not only include the complexity of data and computation but also the effectiveness of intelligent optimization algorithms and ways to deal with human behaviors and social environments [8] , [9] .

查看译文

关键词

Intelligence,Big Data,Financial Security,Guest Editorial,Human Behavior,Technological Innovation,Privacy Protection,Financial Data,Credit Card,Important Research Questions,Threat Model,Money Laundering,Fraud Detection,Privacy Leakage,Digital Currency,Hidden Dangers,Intelligent Way,Detection Results,Stock Market,Generative Adversarial Networks,Federated Learning,Label Propagation Algorithm,Real-world Datasets,Financial Fraud,Credit Scoring,Attack Detection,Chinese Stock Market,Reserve Requirement Ratio,User Behavior,Digital Assets

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要