Abstract
Cloud security in India's retail sector has become a significant concern as the industry adopts cloud-based solutions for data management and customer engagement. This paper examines how deep learning techniques such as Convolutional Neural Networks (CNN) and Autoencoders can be applied to detect anomalies and mitigate cyber threats in cloud-based retail environments. The study focuses on identifying and addressing security vulnerabilities such as data breaches, insider threats, and account takeovers. By presenting case studies from leading Indian retail companies, the paper highlights the potential of deep learning to enhance security and operational efficiency in cloud infrastructures.
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