A Machine Learning Approach to Analyze Cloud Computing Attacks

A Cloud Computing model enables convenient, on demand network access, otherwise known as cloud computing (CC) or "the Cloud". Cloud computing is delivered via internet, using cloud." Everything from mobile applications to data centers on a pay-per-use basis. It is difficult to adopt CC and edge computing for several reasons, including security concerns, client vulnerabilities, and partnership acknowledgment. An algorithm that automatically improves with experience is known as a machine learning algorithm. This paper aims to examine some of the ML algorithms applied to CC security threats. Among the algorithms, we reviewed unsupervised, supervised, semi-supervised, and reinforcement learning for addressing cloud security challenges. CC models can be secured by pursuing future research directions.