Cloud Computing Security: Machine and Deep Learning Models Analysis

Abstract

Cloud computing (CC) is on-demand deliverable services over computer network for data processing and storage. CC has emerged with multiple datacenters available all over the world and providing services with a pay-as-you-go criteria. Even though the cloud system has numerous advantages still it faces one of the major challenges like vulnerability to security attacks. There are multiple types of attacks categorized to break the security like Man-in-the-middle, Malware injection, and Denial-of-service (DOS), etc. In case of deep learning (DL), the network called as convolutional neural network (CNN) is a class of deep neural networks (DNN). It is generally used to explore visual imagery. CNN are computationally comprehensive for a commercial computer. In this paper, the focus is to highlight various security attacks in the cloud with machine and deep learning methods for the detection of attacks. Also review different Machine Learning (ML) methods to overcome the cloud security challenges.