Мақола

Secure Cloud Migration and AI-Driven Fraud Detection for BFSI and Hospitality

Sivakumar KaruppiahBharathidhasan University,Trichy,Tamilnadu,IndiaSourabh SanghiJawaharlal Nehru Technical University,Kukatpally, Hyderabad,IndiaKishore AndeCalifornia State University Northridge,Northridge,CA,USAA. SattarovTermez University of Economics and Service,Department of Finance and Tourism,Termez,UzbekistanOdamboy SamandarovMamun University,Department of Accounting and Business Administration,Urgench,Uzbekistan

2025

ABI

Аннотация

The rapid growth of digital financial services and hospitality on cloud solutions underpin mass adoption. At the same time, this increasing sophistication of fraud calls for more advanced AI-driven detection. In this article, we compare and contrast the secure cloud migration of BFSI sector with hospitality sectors from the union perspective and artificial intelligence based fraud detection. It utilizes recent academic paper and case studies to provide architectural patterns, real-world benchmarking result and operational value from using machine learning, NLP, federated learning in high-risk, compliance-bound environment. It concludes by examining lasting challenges and proposing future research for the AI ethics, real-time threat mitigation and scalable cloud governance.

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Мавзулар

Imbalanced Data Classification Techniques Big Data and Digital Economy Internet of Things and AI

Идентификаторлар

DOI: 10.1109/icsit65336.2025.11295469

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