Open Access
Research Article
Scam detection secure cryptographic model for detection of scams in UPI transactions with web application
Naga Bhavani Chakkabhavani.23phd7142@vitap.ac.inVIT School of Business VIT-AP UniversitySchool of Business VIT-AP UniversityAmaravati, Andhra Pradesh, 522241, India0009-0004-6917-7362View full profile → , *Shaiku Shahida SahebCorresponding authorshahid.sk@vitap.ac.inVIT School of Business VIT-AP UniversityVIT-AP School of Business VIT-AP UniversityAmaravati, Andhra Pradesh, 522241, India0000-0001-6406-3746View full profile →
* Corresponding author · click or hover a name for details
- Received:
- 10 Dec 2024
- Published Online:
- 01 Sep 2025
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-2022
- Pages:
- 1933–1944
Abstract
Unified Payments Interface (UPI) transactions require advanced technologies for rapid and accurate fraud detection. UPI systems face threats such as phishing, spoofing, and unauthorized access as digital payments expand. Effective detection leverages machine learning, behavioral analytics, and real-time monitoring to analyze transaction patterns, user behavior, and device data. This study develops a secure cryptographic model using the Weighted Hyperbolic Curve Cryptography (WHCC) approach for UPI scam detection in web applications. The WHCC model efficiently monitors transactions by evaluating key attributes. Simulation results indicate a high transaction score of 0.91, demonstrating its effectiveness in fraud prevention.
Keywords
Subject Classifications
94A6094A6268M01
References
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