Using Data-Driven Identity Verification to Fight Fraud in Online Marketplaces

Authors: Vinay Kumar Yaragani

DOI: https://doi.org/10.5281/zenodo.14005328

Short DOI: https://doi.org/g8pmfr

Country: USA

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Abstract: This paper explores the role of data-driven identity verification as a key strategy to combat fraud in online marketplaces. With the increasing prevalence of fraudulent activities, securing user trust has become critical for these platforms. Leveraging advanced data analysis techniques, this study examines how identity verification processes can be optimized to detect and prevent fraudulent behavior, reduce risk, and enhance the overall security of the marketplace. We analyze various identity verification methods and their effectiveness in detecting fraudulent accounts, safeguarding sellers from risky buyers, and preventing unauthorized transactions. By incorporating machine learning and real-time data analytics, we aim to develop scalable solutions that not only improve fraud detection rates but also minimize the impact on user experience. The findings of this study provide insights into the best practices for implementing data-driven identity verification and highlight the importance of continuous monitoring to adapt to evolving fraud tactics. This paper aims to offer a comprehensive framework for online marketplaces seeking to build robust identity verification systems and foster a secure and trustworthy digital environment.

Keywords: Identity Verification, Fraud Prevention, Online Marketplaces, Data-Driven Analysis, Machine Learning

Paper Id: 231394

Published On: 2022-09-06

Published In: Volume 10, Issue 5, September-October 2022

Cite This: Using Data-Driven Identity Verification to Fight Fraud in Online Marketplaces - Vinay Kumar Yaragani - IJIRMPS Volume 10, Issue 5, September-October 2022. DOI 10.5281/zenodo.14005328

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