Detection and Control of Credit Card Fraud Attacks in Sliding Window with Exponential Forgetting
Journal article, 2025
Confidence interval method in the moving window with exponential forgetting is proposed in this paper which allows to capture recent changes in the shopping behaviour of the cardholder, detect fraudulent amounts and mitigate the attack. Fraud risk scoring method is used for estimation of the intensity of the fraudulent activity via monitoring of the transaction rates, merchant category codes, times and some other factors for detection of the start of the attack.
The development and verification are based on detailed analysis of the transaction patterns from the dataset, which represents an extensive collection of around 24.4 million credit card transactions from IBM financial database. Recommendations for further development of the detection techniques are also presented.
fraud risk scoring
detection & control in moving window with exponential forgetting
monitoring of intensity of fraudulent activity
time series analysis
credit card fraud attacks
mitigation of fraud attack
Author
Alexander Stotsky
Chalmers, Computer Science and Engineering (Chalmers), Interaction Design and Software Engineering
International Journal of Computers and Applications
1206-212X (ISSN)
Vol. 186 74 0795-8887Areas of Advance
Information and Communication Technology
Subject Categories (SSIF 2025)
Information Systems
Artificial Intelligence
DOI
10.5120/ijca2025924619