Téléchargez le livre : Machine Learning Techniques and Analytics for Cloud Security

Machine Learning Techniques and Analytics for Cloud Security

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Éditeur :

Wiley-Scrivener


Collection :

Advances in Learning Analytics for Intelligent Cloud-IoT Systems

Paru le : 2021-11-30

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Description
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.
Pages
480 pages
Collection
Advances in Learning Analytics for Intelligent Cloud-IoT Systems
Parution
2021-11-30
Marque
Wiley-Scrivener
EAN papier
9781119762256
EAN PDF
9781119764106
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
480
Taille du fichier
15258 Ko
Prix
224,67 €
EAN EPUB
9781119764090
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
480
Taille du fichier
11510 Ko
Prix
224,67 €

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