Jyotsna Kumar Mandal

Rajdeep Chakraborty

Anupam Ghosh

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, 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, like effective intrusion detection system, zero knowledge authentication system, measures for passive attacks, protocols design, privacy system design and application and many more. This book also contains case study / projects to implement various security features using machine learning algorithms and analytics. This book will provide a learning paradigm in field of Artificial Intelligence and deep learning community with related datasets to help dive deeper into Machine Learning applications in cloud security.

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