Fraud Detection using Cloud-Based ML

Authors

  • Venkata Soma New York Mets, USA Author

DOI:

https://doi.org/10.47363/r1311807

Keywords:

Cloud System, Machine Learning (ML), Fraud Detection, Unauthorised Intrusion

Abstract

The present research paper focuses on analysing the fraud detection processes by using the cloud-based ML system. The current business processes are shifting from traditional to digital business operations; hence, they fetch, use, and manage crucial information online. This study found that Amazon and Google use their personal cloud system to prevent data theft. Fraudsters conduct unauthorised access to financial information which leads one to face financial loss. Hence, each organisation needs to use cloud-based ML, as this algorithm can detect the pattern of issues and allows the cloud system to promote and use proper data protection strategies. 

Author Biography

  • Venkata Soma, New York Mets, USA

    Venkata Soma, New York Mets, USA

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Published

2023-10-27

How to Cite

Fraud Detection using Cloud-Based ML. (2023). Journal of Artificial Intelligence & Cloud Computing, 2(4), 1-5. https://doi.org/10.47363/r1311807

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