Aug 20, 2025 · For advancements in deep learning models, we identified the following deep learning models, machine learning models, and hybrid models, which are widely used in fraud detection.

Sep 21, 2023 · To comprehend the current methodologies and pinpoint research gaps, a thorough literature study is done. The suggested approach includes dimensionality reduction, feature …

Sep 3, 2024 · Financial fraud negatively impacts organizational administrative processes, particularly affecting owners and/or investors seeking to maximize their profits. Addressing this issue, this study...

Financial crime is increasingly facilitated by technology and globalization, demanding advanced IT tools for detection. This paper presents an approach to automate the detection of suspicious activities in …

Modern fraud detection systems increasingly utilize AI and machine learning (ML) techniques to identify complex, evolving patterns of fraudulent behaviour that traditional rule-based methods often miss.

Sep 11, 2023 · Integrating AI—and more specifically machine learning—into fraud detection and monitoring can help businesses save resources, lower risk, and work more efficiently and accurately. …

As your customers increasingly use digital tools and services, fraudulent activities by bad actors necessitate advanced fraud detection solutions.