Combating credit card skimming on E-Commerce websites: Advanced detection methods and preventative technologies
Year: 2025
Type: article
Abstract: E-commerce websites face increasing threats from credit card skimming attacks that have evolved from simple code injections to sophisticated operations targeting vulnerabilities in payment systems. These attacks, characterized by malicious code that captures sensitive payment information while allowing websites to function normally, pose significant risks to both businesses and consumers. This article examines the growing landscape of digital skimming threats and advanced detection methodologies, including machine learning-based anomaly detection, integrity-checking systems, automated vulnerability scanning, and real-time transaction monitoring. It further explores preventative technologies such as tokenization, secure payment gateways, web application firewalls, and SSL/TLS encryption. The discussion extends to regulatory compliance frameworks and implementation strategies for comprehensive security, highlighting the multi-layered approach necessary to protect e-commerce platforms in today's digital marketplace.
Author: Verma, Smita
Institution: Brigham Young University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7083586819
FWCI:
Cites:
Cited by:
Related to: