Dr. S. Jeyalaksshmi2 Ms. S. Jayanthi1*

A SURVEY OF DEEP LEARNING ARCHITECTURES FOR TRANSACTION AND FINANCIAL FRAUD DETECTION, ANCHORED ON THE MULTI-TASK CNN BEHAVIOURAL EMBEDDING MODEL

This survey reviews deep learning architectures for transaction and financial fraud detection published strictly after 2024, using the Multi-task CNN Behavioural Embedding Model (MTCNN) proposed by Qu et al.[1] in 2024 as a conceptual anchor rather than as one of the post-2024 st...

A SURVEY OF DEEP LEARNING ARCHITECTURES FOR TRANSACTION AND FINANCIAL FRAUD DETECTION, ANCHORED ON THE MULTI-TASK CNN BEHAVIOURAL EMBEDDING MODEL

This survey reviews deep learning architectures for transaction and financial fraud detection published strictly after 2024, using the Multi-task CNN Behavioural Embedding Model (MTCNN) proposed by Qu et al.[1] in 2024 as a conceptual anchor rather than as one of the post-2024 st...