Artificial Intelligence Support for Cloud Computing Intrusion, Deep-Cloud Issues

Abstract

Customers around world aim at the new wave of application infrastructure software for technology efficiency optimization and anomaly detection. AI algorithms require a shared cloud infrastructure description and help automate machine learning with various targets to be successful across clouds. We have reviewed the ontology-based models support for this purpose. IT companies and mail/web/internet manufacturers are already bringing their cloud approach to the market. Almost ten years ago, challenges were set up, including data safety, privacy protection, access to data, storage models, lack of awareness, and interoperability. This paper discusses the infrastructure layer's cloud systems with usage of machine learning algorithms in service layer of cloud. We need servers and computers with additional features to evaluate and secure cloud services because of these requirements; we have to employ new technologies to propose Cloud and machine learning frameworks. In this connection we have reviewed the usage of deep-cloud framework for the usage of crowd sourcing and how the machine learning algorithms usage can be further extended for the benefit of cloud computing clients.