Mitigating Cloud Computing Cybersecurity Risks Using Machine Learning Techniques

Cloud computing is gaining increasing adoption as it has elastic, on-demand and pay-per-use feature available in different service models like Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS). With the increased adoption of the Internet of things in cities, homes, power grids, personal health monitoring systems, a huge amount of data is generated. However, the IoT devices are unable to store them. They rely on cloud storage for this purpose and use cloud computing for processing. But this computing model is suffering from cyberattacks. Cloud service providers can use machine learning techniques to detect such attacks and take measures to prevent them. In this paper, various cyberattacks faced by the cloud have been surveyed and discussed the machine learning techniques proposed by researchers to mitigate those attacks.