December 09 2021

Machine Learning Techniques and Analytics for Cloud Security


Machine Learning Techniques and Analytics for Cloud Security
English | 2021 | ISBN: ‎ 1119762251 | 480 pages | True PDF EPUB | 26.11 MB

is to integrate machine learning approaches to meet various analytical issues in cloud security.


Cloud security with ML has long-standing challenges that require methodological and theoretical handling. The conventional cryptography approach is less applied in resource-constrained devices. To solve these issues, the machine learning approach may be effectively used in providing security to the vast growing cloud environment. Machine learning algorithms can also be used to meet various cloud security issues, such as effective intrusion detection systems, zero-knowledge authentication systems, measures for passive attacks, protocols design, privacy system designs, applications, and many more. The book also contains case studies/projects outlining how to implement various security features using machine learning algorithms and analytics on existing cloud-based products in public, private and hybrid cloud respectively.
Research scholars and industry eeers in computer sciences, electrical and electronics eeering, machine learning, computer security, information technology, and cryptography.



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