Mitigating Online Banking Fraud Using Machine Learning and Anomaly Detection

Mitigating Online Banking Fraud Using Machine Learning and Anomaly Detection

Online banking fraud has become increasingly prevalent with the widespread adoption of digital financial services, necessitating advanced security solutions capable of detecting both known and emerging threats. This paper presents a robust machine learning framework that integrates anomaly detection...

Full description

Saved in:
Bibliographic Details
Main Authors: Sheunesu Makura, Caden Dobson, Seani Rananga
Format: Article
Language:English
Published: Informatics Department, Faculty of Computer Science Bina Darma University 2025-06-01
Series:Journal of Information Systems and Informatics
Subjects:
machine learning
fraud mitigation
online banking
anomaly detection
network packets
fraud detection
Online Access:https://journal-isi.org/index.php/isi/article/view/1076
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items