面向社会关系网络的数字金融欺诈检测研究进展OACSTPCD

In the new era of fintech,digital technology is the core driving force of the future development of financial industry.With the new technology and the risk of financial fraud escalating,fraud detection based on digital technology has become a new research hot spot.Meantime the research direction of financial fraud detection technology has shifted from traditional methods of improving expert experience and optimizing machine learning models to exploring graph machine learning methods for social network.This article focuses on social network,based on the development process of network analysis,from different perspectives of detecting abnormal individuals,suspicious groups and unhealthy intermediaries,with different technical methods of digital financial fraud detection as the main line,the existing social-oriented relational network fraud identification methods are investigated,and the future research trends and directions of digital financial fraud detection technologies are highlighted.