Published July 22, 2025 | Version v1
Journal article Open

SECURE BANK AI: A CAPSULE NETWORK-BASED MODEL FOR FRAUD DETECTION IN DIGITAL BANKING

Authors/Creators

  • 1. School of Engineering, University of Zambia, Lusaka, Zambia.

Description

The rapid expansion of digital banking has transformed the financial sector
by enabling faster, more accessible, and scalable services. Technologies such
as cloud computing and artificial intelligence (AI) have significantly
improved international financial inclusion, connecting urban and rural
populations to banking systems. However, this digital transformation has
simultaneously increased vulnerability to cyber threats. With the rise in
online transactions, traditional fraud detection systems are increasingly
ineffective against sophisticated cybercrimes, including data breaches,
identity theft, AI-generated deepfake identities, phishing attacks, and
malware. Cloud-based financial systems, though efficient, introduce new
potential points of attack. This paper highlights the growing challenges of
cyber fraud in the digital banking era and underscores the urgent need for
advanced, AI-driven fraud detection mechanisms to safeguard modern
financial ecosystems.

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ISSN
3049-3013

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Is referenced by
Journal article: 3049-3013 (ISSN)

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