Machine Learning Approaches for Security Detection in Cloud Web Applications

A technology architecture known as "cloud computing" offers end users on-demand, scalable, & measurable resources. Today's businesses rely heavily on computational innovation for a variety of reasons, including cost savings, architecture, developmental platforms, data preparation, data insights, etc. The end users have accessed the cloud service providers' (CSP) services from any location at any time using a webpage. The protection of the cloud platform is of the utmost importance, and many studies using a variety of technologies have been conducted to develop more effective defences against cloud threats. In upcoming years, machine learning technology has shown to be more effective in security the cloud environment. In contrast to other technologies, machine learning algorithms are educated on a variety of real-world information to develop complex that can streamline the task of identifying cloud assaults. This article examines some of the most recent studies that have used machine learning as a defence versus cloud threats.