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This paper introduces a Machine Learning-Driven website Platform and Browser Extension designed to quickly enhance online security by providing real-time risk scoring and fraud detection for website legitimacy verification and consumer…

Cryptography and Security · Computer Science 2024-11-04 Md Kamrul Hasan Chy , Obed Nana Buadi

This systematic literature review examines the role of machine learning in fraud detection within digital banking, synthesizing evidence from 118 peer-reviewed studies and institutional reports. Following the PRISMA guidelines, the review…

Machine Learning · Computer Science 2025-10-08 Md Zahin Hossain George , Md Khorshed Alam , Md Tarek Hasan

The rise of digital payments has accelerated the need for intelligent and scalable systems to detect fraud. This research presents an end-to-end, feature-rich machine learning framework for detecting credit card transaction anomalies and…

As online fraud becomes more sophisticated and pervasive, traditional fraud detection methods are struggling to keep pace with the evolving tactics employed by fraudsters. This paper explores the transformative role of machine learning in…

Machine Learning · Computer Science 2024-10-29 Md Kamrul Hasan Chy

Financial fraud cases are on the rise even with the current technological advancements. Due to the lack of inter-organization synergy and because of privacy concerns, authentic financial transaction data is rarely available. On the other…

In the field of fraud detection, the availability of comprehensive and privacy-compliant datasets is crucial for advancing machine learning research and developing effective anti-fraud systems. Traditional datasets often focus on…

Machine Learning · Computer Science 2024-04-24 Phoebe Jing , Yijing Gao , Xianlong Zeng

Machine learning models have widely been used in fraud detection systems. Most of the research and development efforts have been concentrated on improving the performance of the fraud scoring models. Yet, the downstream fraud alert systems…

Machine Learning · Computer Science 2020-10-22 Hongda Shen , Eren Kurshan

The automatic detection of frauds in banking transactions has been recently studied as a way to help the analysts finding fraudulent operations. Due to the availability of a human feedback, this task has been studied in the framework of…

Machine Learning · Computer Science 2020-04-24 Christelle Marfaing , Alexandre Garcia

Credit card fraud detection is a very challenging problem because of the specific nature of transaction data and the labeling process. The transaction data is peculiar because they are obtained in a streaming fashion, they are strongly…

Machine Learning · Computer Science 2018-04-23 Fabirzio Carcillo , Yann-Aël Le Borgne , Olivier Caelen , Gianluca Bontempi

With online payment platforms being ubiquitous and important, fraud transaction detection has become the key for such platforms, to ensure user account safety and platform security. In this work, we present a novel method for detecting…

Machine Learning · Computer Science 2020-03-30 Longfei Li , Ziqi Liu , Chaochao Chen , Ya-Lin Zhang , Jun Zhou , Xiaolong Li

Credit cards play an exploding role in modern economies. Its popularity and ubiquity have created a fertile ground for fraud, assisted by the cross boarder reach and instantaneous confirmation. While transactions are growing, the fraud…

Cryptography and Security · Computer Science 2022-08-24 Gayan K. Kulatilleke

The use of credit cards has become quite common these days as digital banking has become the norm. With this increase, fraud in credit cards also has a huge problem and loss to the banks and customers alike. Normal fraud detection systems,…

Machine Learning · Computer Science 2022-06-28 Bushra Yousuf , Rejwan Bin Sulaiman , Musarrat Saberin Nipun

With the increase of credit card usage, the volume of credit card misuse also has significantly increased. As a result, financial organizations are working hard on developing and deploying credit card fraud detection methods, in order to…

Machine Learning · Computer Science 2019-12-09 Niloofar Yousefi , Marie Alaghband , Ivan Garibay

The recent decade witnessed a surge of increase in financial crimes across the public and private sectors, with an average cost of scams of $102m to financial institutions in 2022. Developing a mechanism for battling financial crimes is an…

Machine Learning · Computer Science 2023-04-20 Haobo Zhang , Junyuan Hong , Fan Dong , Steve Drew , Liangjie Xue , Jiayu Zhou

The large variety of digital payment choices available to consumers today has been a key driver of e-commerce transactions in the past decade. Unfortunately, this has also given rise to cybercriminals and fraudsters who are constantly…

Machine Learning · Computer Science 2021-12-09 Siddharth Vimal , Kanishka Kayathwal , Hardik Wadhwa , Gaurav Dhama

In the era of the digitally driven economy, where there has been an exponential surge in digital payment systems and other online activities, various forms of fraudulent activities have accompanied the digital growth, out of which credit…

Machine Learning · Computer Science 2025-09-23 Ganesh Khekare , Shivam Sunda , Yash Bothra

Credit card is one of the most extensive methods of instalment for both online and offline mode of payment for electronic transactions in recent times. credit cards invention has provided significant ease in electronic transactions.…

Machine Learning · Computer Science 2024-09-23 Sourav Verma , Joydip Dhar

With the rapid growth of e-commerce, online payment fraud has become increasingly complex, posing serious threats to financial security and consumer trust. Traditional detection methods often struggle to capture the intricate relational…

Computational Engineering, Finance, and Science · Computer Science 2025-09-15 RuiHan Luo , Nanxi Wang , Xiaotong Zhu

In the faceless world of the Internet,online fraud is one of the greatest reasons of loss for web merchants.Advanced solutions are needed to protect e businesses from the constant problems of fraud.Many popular fraud detection algorithms…

Networking and Internet Architecture · Computer Science 2010-06-15 P. Srinivasulu , J. Ranga Rao , I. Ramesh Babu

Money laundering is a major global problem, enabling criminal organisations to hide their ill-gotten gains and to finance further operations. Prevention of money laundering is seen as a high priority by many governments, however detection…

Social and Information Networks · Computer Science 2016-08-03 David Savage , Qingmai Wang , Pauline Chou , Xiuzhen Zhang , Xinghuo Yu
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