Securing healthcare in the cloud: a machine learning perspective

The healthcare sector has transformed because of cloud computing, which provides scalable and affordable methods for handling and storing enormous volumes of patient data. However, ensuring the security and privacy of sensitive healthcare information remains a significant challenge. This paper explores the application of machine learning techniques to enhance the security of cloud healthcare services. The study discusses the potential benefits of machine learning in detecting and preventing security breaches, and ensuring data privacy, and addresses the unique challenges faced by the healthcare industry in cloud computing. The present research adopts different machine learning algorithms that can be leveraged to strengthen the security of cloud healthcare services and present real-world examples of their implementation. Finally, the paper discusses the limitations and future directions of the application of machine learning in securing cloud healthcare services.