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Fraud Detection in Online Transactions: Enhancing User Experience with Scalable AI Solutions

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Volume-9 | Multidisciplinary Approaches and Applications Studies in Research and Innovation

Last date : 27-Apr-2025

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Fraud Detection in Online Transactions: Enhancing User Experience with Scalable AI Solutions


Dilip Kumar | Yashwant Kumar



Dilip Kumar | Yashwant Kumar "Fraud Detection in Online Transactions: Enhancing User Experience with Scalable AI Solutions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-9 | Issue-2, April 2025, pp.1025-1034, URL: https://www.ijtsrd.com/papers/ijtsrd78658.pdf

With the rapid expansion of online financial transactions, detecting fraudulent activity has become a significant concern. This study investigates the integration of scalable artificial intelligence (AI) technologies into fraud detection systems with a focus on maintaining a seamless and user-friendly experience. By employing real-time monitoring, intuitive alert systems, and machine learning algorithms, platforms can identify anomalous behaviors while minimizing disruption to users. The research emphasizes the need to balance robust security with usability, ensuring that fraud detection measures do not compromise transaction speed or user satisfaction. Additionally, the paper explores challenges such as alert fatigue, integration complexity, and privacy concerns, proposing solutions including adaptive learning models, blockchain integration, and collaborative frameworks with cybersecurity experts. The findings underscore the importance of designing fraud detection frameworks that are both scalable and responsive to evolving threats, without sacrificing the user experience.

Fraud Detection, Artificial Intelligence, Real-Time Monitoring, Machine Learning, Online Transactions, User Experience, Alert Systems, Scalable Systems, Cybersecurity, Transaction Security, Financial Technology (FinTech), Blockchain, Anomaly Detection


IJTSRD78658
Volume-9 | Issue-2, April 2025
1025-1034
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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