A Comprehensive Survey of Fraud Detection for E-Commerce

Sultan Alharbi; Khaled Alahmadi; Zhiben Song; Xianzhi Wang

doi:10.5455/EJCSI.20250409024032

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Eu J Comp Sci Informatics. 2026; 3(2): 83-119

doi: 10.5455/EJCSI.20250409024032

A Comprehensive Survey of Fraud Detection for E-Commerce

Sultan Alharbi, Khaled Alahmadi, Zhiben Song, Xianzhi Wang.

Abstract
Fraud detection is crucial for maintaining the security and integrity of e-commerce operations. Recent efforts have derived fruitful results in fraud detection research, ranging from conventional machine learning to deep neural networks to more recent graph-based methods and hybrid models that combine the above techniques. This study presents a comprehensive review of common fraud types and a critical analysis of state-of-the-art fraud detection techniques in e-commerce, followed by a discussion of open challenges and future directions.
This survey could be an ideal starting point for novice readers to gain a holistic understanding of the key concepts and techniques related to e-commerce fraud detection. It also serves as a reference for relevant researchers and practitioners to refresh their knowledge in the vibrant field of e-commerce fraud detection in face of evolving fraudulent threats.

Key words: E-commerce, Machine Learning, Fraud Detection, Deep Learning, Future Directions.

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How to Cite this Article

Pubmed Style

Alharbi S, Alahmadi K, Song Z, Wang X. A Comprehensive Survey of Fraud Detection for E-Commerce. Eu J Comp Sci Informatics. 2026; 3(2): 83-119. doi:10.5455/EJCSI.20250409024032

Web Style

Alharbi S, Alahmadi K, Song Z, Wang X. A Comprehensive Survey of Fraud Detection for E-Commerce. https://www.wisdomgale.com/ejcsi/?mno=251814 [Access: June 06, 2026]. doi:10.5455/EJCSI.20250409024032

AMA (American Medical Association) Style

Alharbi S, Alahmadi K, Song Z, Wang X. A Comprehensive Survey of Fraud Detection for E-Commerce. Eu J Comp Sci Informatics. 2026; 3(2): 83-119. doi:10.5455/EJCSI.20250409024032

Vancouver/ICMJE Style

Alharbi S, Alahmadi K, Song Z, Wang X. A Comprehensive Survey of Fraud Detection for E-Commerce. Eu J Comp Sci Informatics. (2026), [cited June 06, 2026]; 3(2): 83-119. doi:10.5455/EJCSI.20250409024032

Harvard Style

Alharbi, S., Alahmadi, . K., Song, . Z. & Wang, . X. (2026) A Comprehensive Survey of Fraud Detection for E-Commerce. Eu J Comp Sci Informatics, 3 (2), 83-119. doi:10.5455/EJCSI.20250409024032

Turabian Style

Alharbi, Sultan, Khaled Alahmadi, Zhiben Song, and Xianzhi Wang. 2026. A Comprehensive Survey of Fraud Detection for E-Commerce. European Journal of Computer Sciences and Informatics, 3 (2), 83-119. doi:10.5455/EJCSI.20250409024032

Chicago Style

Alharbi, Sultan, Khaled Alahmadi, Zhiben Song, and Xianzhi Wang. "A Comprehensive Survey of Fraud Detection for E-Commerce." European Journal of Computer Sciences and Informatics 3 (2026), 83-119. doi:10.5455/EJCSI.20250409024032

MLA (The Modern Language Association) Style

Alharbi, Sultan, Khaled Alahmadi, Zhiben Song, and Xianzhi Wang. "A Comprehensive Survey of Fraud Detection for E-Commerce." European Journal of Computer Sciences and Informatics 3.2 (2026), 83-119. Print. doi:10.5455/EJCSI.20250409024032

APA (American Psychological Association) Style

Alharbi, S., Alahmadi, . K., Song, . Z. & Wang, . X. (2026) A Comprehensive Survey of Fraud Detection for E-Commerce. European Journal of Computer Sciences and Informatics, 3 (2), 83-119. doi:10.5455/EJCSI.20250409024032