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Fraud detection systems (FDS) mainly perform two tasks: (i) real-time detection while the payment is being processed and (ii) posterior detection to block the card retrospectively and avoid further frauds. Since human verification is often…

Machine Learning · Computer Science 2022-04-12 Van Bach Nguyen , Kanishka Ghosh Dastidar , Michael Granitzer , Wissam Siblini

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…

Cryptography and Security · Computer Science 2020-12-01 Bemali Wickramanayake , Dakshi Kapugama Geeganage , Chun Ouyang , Yue Xu

With the rise of attacks on online accounts in the past years, more and more services offer two-factor authentication for their users. Having factors out of two of the three categories something you know, something you have and something…

Cryptography and Security · Computer Science 2022-07-07 Timon Hackenjos , Benedikt Wagner , Julian Herr , Jochen Rill , Marek Wehmer , Niklas Goerke , Ingmar Baumgart

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

Although credit and debit card data continue to be a prime target for attackers, organizational adherence to the Payment Card Industry Data Security Standard (PCI DSS) remains surprisingly low. Despite prior work showing that PCI DSS can…

Cryptography and Security · Computer Science 2026-02-11 Soonwon Park , John D. Hastings

We propose a two-factor authentication (2FA) mechanism called 2D-2FA to address security and usability issues in existing methods. 2D-2FA has three distinguishing features: First, after a user enters a username and password on a login…

Cryptography and Security · Computer Science 2021-11-01 Maliheh Shirvanian , Shashank Agrawal

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…

Machine Learning · Computer Science 2024-11-13 Chang Yu , Yongshun Xu , Jin Cao , Ye Zhang , Yinxin Jin , Mengran Zhu

Credit card fraud causes significant financial losses and frequently occurs as fraud attack, defined as short-term sequence of fraudulent transactions associated with high transaction rates and amounts, business areas historically tied to…

Optimization and Control · Mathematics 2025-03-27 Alexander Stotsky

Detection of a Fraud transaction on credit cards became one of the major problems for financial institutions, organizations and companies. As the global financial system is highly connected to non-cash transactions and online operations…

Machine Learning · Computer Science 2022-05-31 Dinara Rzayeva , Saber Malekzadeh

Credit card has become popular mode of payment for both online and offline purchase, which leads to increasing daily fraud transactions. An Efficient fraud detection methodology is therefore essential to maintain the reliability of the…

Machine Learning · Computer Science 2019-04-25 Xuetong Niu , Li Wang , Xulei Yang

Attacks targeting several millions of non-internet based application users are on the rise. These applications such as SMS and USSD typically do not benefit from existing multi-factor authentication methods due to the nature of their…

Cryptography and Security · Computer Science 2020-10-16 Andrew Kinai , Fred Otieno , Nelson Bore , Komminist Weldemariam

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

Credit and debit cards, rather than actual money, have become the universal payment means. With these cards, it has become possible to buy expensive items easily without an additional complex authentication procedure being conducted.…

Cryptography and Security · Computer Science 2013-06-25 Chae Chang Lee , Ji Won yoon

Credit card fraud detection (CCFD) is a critical application of Machine Learning (ML) in the financial sector, where accurately identifying fraudulent transactions is essential for mitigating financial losses. ML models have demonstrated…

Cryptography and Security · Computer Science 2025-08-21 Jan Lum Fok , Qingwen Zeng , Shiping Chen , Oscar Fawkes , Huaming Chen

In recent years, financial fraud detection systems have become very efficient at detecting fraud, which is a major threat faced by e-commerce platforms. Such systems often include machine learning-based algorithms aimed at detecting and…

Cryptography and Security · Computer Science 2023-12-05 Chen Doytshman , Satoru Momiyama , Inderjeet Singh , Yuval Elovici , Asaf Shabtai

Credit card fraud is a major cause of national concern in the Nigerian financial sector, affecting hundreds of transactions per second and impacting international ecommerce negatively. Despite the rapid spread and adoption of online…

Machine Learning · Computer Science 2024-07-15 Jennifer Onyeama

Fraudulent activities on digital banking services are becoming more intricate by the day, challenging existing defenses. While older rule driven methods struggle to keep pace, even precision focused algorithms fall short when new scams are…

Cryptography and Security · Computer Science 2026-01-21 Karthikeyan V. R. , Premnath S. , Kavinraaj S. , J. Sangeetha

App builders commonly use security challenges, a form of step-up authentication, to add security to their apps. However, the ethical implications of this type of architecture has not been studied previously. In this paper, we present a…

Cryptography and Security · Computer Science 2021-06-30 Zainul Abi Din , Hari Venugopalan , Henry Lin , Adam Wushensky , Steven Liu , Samuel T. King

Two-factor authentication (2F) aims to enhance resilience of password-based authentication by requiring users to provide an additional authentication factor, e.g., a code generated by a security token. However, it also introduces…

Cryptography and Security · Computer Science 2014-02-03 Emiliano De Cristofaro , Honglu Du , Julien Freudiger , Greg Norcie

Two-factor authentication (2FA) offers several security benefits that security-conscious users might expect from high-value services such as online banks. In this work, we present our preliminary study to develop a scoring scheme to…

Cryptography and Security · Computer Science 2022-02-15 Srivathsan G. Morkonda , AbdelRahman Abdou
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