Oct 13, 2025 · Discover how to stop chargebacks and identity theft in 2024. Learn 6 ecommerce fraud-detection use cases—from rules-based to ML—plus a step-by-step implementation guide.

Mar 24, 2025 · We provide a systematic review of the endeavors of e-commerce companies in combating transaction risks that involve buyers, sellers, items, and transactions. There has been a …

Jul 9, 2025 · Smaller and growing merchants may benefit from a rule-based fraud detection approach. For example, putting in place rules that don’t allow an order to ship out where the IP address is in a …

Apr 23, 2025 · To combat fraudulent transactions, there's a growing need for effective methods. Our primary objective is to comprehensively study various algorithms employed in e-commerce for fraud …

Jan 1, 2025 · The proliferation of fraud in online shopping has accompanied the development of e-commerce, leading to substantial economic losses, and affecting con…

Traditional rule-based fraud detection systems, while effective to some extent, struggle to keep pace with the evolving tactics of sophisticated fraudsters. To address these challenges, machine learning …

Mar 31, 2025 · In this work, therefore, a system is proposed to detect fraud in e-commerce transaction using analytical technique built on top of rule-based engine.

Early methods relied heavily on rule-based systems and manual reviews to monitor credit card transactions, proving effective to a certain extent but struggling to keep pace with the scale and …

Jul 2, 2025 · In this blog post, we will explore the limitations of rules-based systems and how machine learning can help e-commerce businesses stay one step ahead of fraudsters, providing a …

Traditional rule-based detection systems have proven increasingly inadequate against sophisticated threats, generating excessive false positives while missing complex fraud attempts. This article …