Combating credit card skimming on E-Commerce websites: Advanced detection methods and preventative technologies

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.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.17213390
Primary Topic
Diverse Scientific and Economic Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Combating credit card skimming on E-Commerce websites: Advanced detection methods and preventative technologies

Zenodo (CERN European Organization for Nuclear Research)
Diverse Scientific and Economic Studies
article

Combating credit card skimming on E-Commerce websites: Advanced detection methods and preventative technologies

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Brigham Young University (US)
Openalex Percentile: Top 35%
Diverse Scientific and Economic Studies
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Combating credit card skimming on E-Commerce websites: Advanced detection methods and preventative technologies · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS