Cloud Security Analysis using Machine Learning Algorithms
B. S. Pavithra, C Vinola, Nilamadhab Mishra, G. M. Naveen · 2023
The term "Cloud Computing" (CC) refers to the on-demand availabilities of network resources, in particular data storage and processing powers. It is a collection of contemporary public and private data centers that generate clients with a unified platform through the Internet. A developing paradigm in computing, cloud computing puts processing and data storage closer to the consumers to speed up reaction times and free up transmission capacity. Distributed computing is used by Mobile CC (MCC) to provide programs to mobile devices. The security issues faced by CC, such as client vulnerability and association acknowledgment, prevent the quick adoption of computing models. The study of computer algorithms that become best on their own with practices is known as Machine Learning (ML), and it is based on Convolution Neural Network (CNN)-Support Vector Machine (SVM) architecture. To analyze CC securities threats, issues, and solutions that includes one or many ML algorithms such as CNN, SVM, and Logistic Regression (LR) in this study. Several ML techniques are applied to solve cloud security concern. The performance of each approach is then contrasted based on its attributes, benefits, and drawbacks.