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Machine Learning Techniques and Analytics for Cloud Security (Hardcover)
Loot Price: R5,358
Discovery Miles 53 580
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Machine Learning Techniques and Analytics for Cloud Security (Hardcover)
Expected to ship within 12 - 17 working days
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MACHINE LEARNING TECHNIQUES AND ANALYTICS FOR CLOUD SECURITY This
book covers new methods, surveys, case studies, and policy with
almost all machine learning techniques and analytics for cloud
security solutions The aim of Machine Learning Techniques and
Analytics for Cloud Security 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. Audience Research scholars and industry engineers in
computer sciences, electrical and electronics engineering, machine
learning, computer security, information technology, and
cryptography.
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