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With the proliferation of various online and mobile payment systems, credit card fraud has emerged as a significant threat to financial security. This study focuses on innovative applications of the latest Transformer models for more robust…

机器学习 · 计算机科学 2024-11-13 Chang Yu , Yongshun Xu , Jin Cao , Ye Zhang , Yinxin Jin , Mengran Zhu

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,…

机器学习 · 计算机科学 2022-06-28 Bushra Yousuf , Rejwan Bin Sulaiman , Musarrat Saberin Nipun

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…

机器学习 · 计算机科学 2018-04-23 Fabirzio Carcillo , Yann-Aël Le Borgne , Olivier Caelen , Gianluca Bontempi

Machine learning has opened up new tools for financial fraud detection. Using a sample of annotated transactions, a machine learning classification algorithm learns to detect frauds. With growing credit card transaction volumes and rising…

机器学习 · 计算机科学 2022-08-26 Gayan K. Kulatilleke

In the age of digital finance, detecting fraudulent transactions and money laundering is critical for financial institutions. This paper presents a scalable and efficient solution using Big Data tools and machine learning models. We utilize…

分布式、并行与集群计算 · 计算机科学 2025-06-04 Chen Liu , Hengyu Tang , Zhixiao Yang , Ke Zhou , Sangwhan Cha

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.…

机器学习 · 计算机科学 2024-09-23 Sourav Verma , Joydip Dhar

As the world is rapidly moving towards digitization and money transactions are becoming cashless, the use of credit cards has rapidly increased. The fraud activities associated with it have also been increasing which leads to a huge loss to…

人工智能 · 计算机科学 2021-08-24 Pooja Tiwari , Simran Mehta , Nishtha Sakhuja , Jitendra Kumar , Ashutosh Kumar Singh

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…

密码学与安全 · 计算机科学 2022-08-24 Gayan K. Kulatilleke

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…

机器学习 · 计算机科学 2019-12-09 Niloofar Yousefi , Marie Alaghband , Ivan Garibay

Credit card fraud has emerged as major problem in the electronic payment sector. In this survey, we study data-driven credit card fraud detection particularities and several machine learning methods to address each of its intricate…

机器学习 · 计算机科学 2020-10-14 Yvan Lucas , Johannes Jurgovsky

The rapid expansion of e-commerce and the widespread use of credit cards in online purchases and financial transactions have significantly heightened the importance of promptly and accurately detecting credit card fraud (CCF). Not only do…

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…

Gaining the trust and confidence of customers is the essence of the growth and success of financial institutions and organizations. Of late, the financial industry is significantly impacted by numerous instances of fraudulent activities.…

机器学习 · 计算机科学 2023-03-10 Yelleti Vivek , Vadlamani Ravi , Abhay Anand Mane , Laveti Ramesh Naidu

As the financial industry becomes more interconnected and reliant on digital systems, fraud detection systems must evolve to meet growing threats. Cloud-enabled Transformer models present a transformative opportunity to address these…

计算工程、金融与科学 · 计算机科学 2025-02-03 Tingting Deng , Shuochen Bi , Jue Xiao

Credit card fraud detection is a critical challenge in the financial sector, demanding sophisticated approaches to accurately identify fraudulent transactions. This research proposes an innovative methodology combining Neural Networks (NN)…

计算工程、金融与科学 · 计算机科学 2024-05-02 Mengran Zhu , Ye Zhang , Yulu Gong , Changxin Xu , Yafei Xiang

Credit card plays a very important rule in today's economy. It becomes an unavoidable part of household, business and global activities. Although using credit cards provides enormous benefits when used carefully and responsibly,significant…

密码学与安全 · 计算机科学 2016-11-22 SamanehSorournejad , Zahra Zojaji , Reza Ebrahimi Atani , Amir Hassan Monadjemi

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…

机器学习 · 计算机科学 2025-09-23 Ganesh Khekare , Shivam Sunda , Yash Bothra

Credit card frauds are at an ever-increasing rate and have become a major problem in the financial sector. Because of these frauds, card users are hesitant in making purchases and both the merchants and financial institutions bear heavy…

机器学习 · 计算机科学 2020-12-08 Thanh Thi Nguyen , Hammad Tahir , Mohamed Abdelrazek , Ali Babar

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…

机器学习 · 计算机科学 2020-03-30 Longfei Li , Ziqi Liu , Chaochao Chen , Ya-Lin Zhang , Jun Zhou , Xiaolong Li

Card payment fraud is a serious problem, and a roadblock for an optimally functioning digital economy, with cards (Debits and Credit) being the most popular digital payment method across the globe. Despite the occurrence of fraud could be…

密码学与安全 · 计算机科学 2020-12-01 Bemali Wickramanayake , Dakshi Kapugama Geeganage , Chun Ouyang , Yue Xu
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