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Machine Learning Techniques and Analytics for Cloud Security covers new methods, surveys, case studies, and policy with almost all machine learning techniques and analytics for cloud security solutions. The aim of this book 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… [Continue Reading]