Performance of Machine Learning and Big Data Analytics paradigms in Cybersecurity and Cloud Computing Platforms

Abstract

The purpose of the research is to evaluate Machine Learning and Big Data Analytics paradigms for use in Cybersecurity Cybersecurity refers to a combination of technologies processes and operations that are framed to protect information systems computers devices programs data and networks from internal or external threats harm damage attacks or unauthorized access The main characteristic of Machine Learning ML is the automatic data analysis of large data sets and production of models for the general relationships found among data ML algorithms as part of Artificial Intelligence can be clustered into supervised unsupervised semi-supervised and reinforcement learning algorithms