Enhancing User Trust and Payment Security in eCommerce Transactions Using Behavioral Biometrics

Abstract

The rapid expansion of eCommerce has introduced unprecedented convenience for consumers while simultaneously amplifying risks associated with fraudulent activities and identity theft. Traditional security mechanisms, such as passwords and OTPs, often fail to provide robust protection against sophisticated cyber threats. Behavioral biometrics, which analyze unique patterns in user behavior—such as typing rhythm, mouse movement, and device handling—emerge as a promising approach to enhance both security and trust in online transactions. This paper presents an in-depth study on the integration of behavioral biometrics within eCommerce platforms, analyzing their effectiveness in mitigating fraud and improving user confidence. Experimental results demonstrate significant improvements in fraud detection accuracy and a measurable increase in perceived trust among users. Finally, the study outlines practical considerations for deploying behavioral biometric systems, highlighting the balance between security, user experience, and privacy compliance.