Next Generation Cloud Computing: Security, Privacy and Trust Issues from the System View

Abstract

Cloud Computing has become the key resource providing the computing needs. The inclusion of Internet of Things (IoT) along with the emergence of Artificial Intelligence (AI) including Machine Learning (ML) provide endless opportunities with a new extended reach into all facets of human life. This platform brings new and unprecedented challenges, particularly the combination of end user devices and service provided systems; as such, there is a need to develop an end-to-end architecture that is modular whilst addresses four key parameters being, system architecture, security, privacy, and trust. Within this work in progress article, we identify the new and emerging security, privacy, and trust issues along with the gaps within Next Generation Cloud Computing when viewed in entirety, the system view; propose a novel modular architecture for use when consuming these services that reduces identified security risks; and develop a new framework for mitigating issues utilising Machine Learning.