Financial Cybercrime: A Comprehensive Survey of Deep Learning Approaches to Tackle the Evolving Financial Crime Landscape

Financial Cybercrime: A Comprehensive Survey of Deep Learning Approaches to Tackle the Evolving Financial Crime Landscape

Machine Learning and Deep Learning methods are widely adopted across financial domains to support trading activities, mobile banking, payments, and making customer credit decisions. These methods also play a vital role in combating financial crime, fraud, and cyberattacks. Financial crime is increas...

Full description

Bibliographic Details
Main Authors: Jack Nicholls, Aditya Kuppa, Nhien-An Le-Khac
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Anomaly detection
artificial intelligence
cybersecurity
cryptocurrency analysis
SIM-swap analysis
deep learning
Online Access:https://ieeexplore.ieee.org/document/9642993/

Internet

https://ieeexplore.ieee.org/document/9642993/

Similar Items