关键词
cybersecurity
artificial intelligence
machine learning
deep learning
big data analytics
cloud computing
artificial intelligence
machine learning
deep learning
big data analytics
cloud computing
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Professor Gabriel Kabanda. (2021). Performance of Machine Learning and Big Data Analytics paradigms in Cybersecurity and Cloud Computing Platforms. 全球计算机科学与技术杂志, 21(G2), 1–25. 取读于 从 https://gjcst.com/index.php/gjcst/article/view/2047
摘要
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
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