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Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Rise Of UPI Fraud In India: Vulnerability Analysis And Prevention Framework

Authors: Aniket Garg;

Rise Of UPI Fraud In India: Vulnerability Analysis And Prevention Framework

Abstract

The rapid growth of the Indian digital payments ecosystem which is controlled mainly by the Unified Payments Interface (UPI) has improved financial inclusion whilst alleviating transaction friction. Meanwhile, the magnitude, speed, and functionality of UPI have increased vulnerability to phishing, impersonation, scams, and synthetic identities, mule accounts, and AI-enforced social engineering. The paper under consideration investigates the UPI fraud proliferation in India through the qualitative analysis of official circulars, payment data, cybersecurity reports, and the latest regulatory interventions. It has been shown in the analysis that user confusion, ineffective verification conduct, quick payment rails that cannot be reversed, and more advanced threat agents are the proximal factors influencing the rise in fraud. A multi-level framework of prevention that incorporates beneficiary authentication, concatenation of devices, behavioural danger rating, mule-account recognition, consumer knowledge, and amplified inter-institutional reports is proposed. The paper concludes that future achievements in minimizing fraud through the integration of scale-induced innovation with security-by-design and timely redress framework will be dependent on it. [1], [3], [4], [5].

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green