Cloud Security in Indian FinTech: A Machine Learning Approach to Risk Mitigation
DOI:
https://doi.org/10.36676/urr.v8.i4.1412Keywords:
Cybersecurity, Deep Learning, Convolutional Neural NetworksAbstract
As India's FinTech sector grows, so do the security challenges associated with cloud-based financial services. This paper investigates how machine learning algorithms can be utilized to enhance cloud security in Indian FinTech companies. The study evaluates the performance of various ML models, such as Random Forest and Gradient Boosting, in detecting security threats like identity theft, account takeover, and payment fraud. The research highlights the need for real-time threat detection systems that comply with Indian regulatory frameworks, such as the Payment and Settlement Systems Act. Case studies of prominent Indian FinTech companies that have implemented ML-based security systems are also presented.
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