Machine Learning based Security for Cloud Computing: A Survey

摘要

Cloud computing is a computing paradigm that provides on-demand, scalable as well as measured services to the end uses. In today's era almost each and every business has huge dependency on this computing technology in terms of cost-saving, infrastructure, development platform, data processing, data analytics etc. The services provided by the cloud service providers (CSP) can be consumed by the end users anytime, anywhere by the web application over the internet. The security of the cloud infrastructure is of utmost importance and several research work involving various technologies are utilized so as to provide better and more accurate defence mechanism against cloud attacks. Machine learning is a technology that has proved to produce better results in securing the cloud environment in the recent times. Machine learning algorithms are trained on the various authentic datasets to build models that can automate the process of detecting the cloud attacks with higher accuracy in comparison with any other technology. This paper reviews some of the latest research papers that have employed machine learning as a security mechanism against cloud attacks.