This edited book is a compilation of scholarly articles on the latest developments in the field of AI, Blockchain, and ML/DL in cloud security. This book is designed for security and risk assessment professionals, and to help undergraduate, postgraduate students, research scholars, academicians, and technology professionals who are interested in learning practical approaches to cloud security. It covers practical strategies for assessing the security and privacy of cloud infrastructure and applications and shows how to make cloud infrastructure secure to combat threats and attacks, and prevent data breaches. The chapters are designed with a granular framework, starting with the security concepts, followed by hands-on assessment techniques based on real-world studies. Readers will gain detailed information on cloud computing security that—until now—has been difficult to access.

This book:

• Covers topics such as AI, Blockchain, and ML/DL in cloud security.

• Presents several case studies revealing how threat actors abuse and exploit cloud environments to spread threats.

• Explains the privacy aspects you need to consider in the cloud, including how they compare with aspects considered in traditional computing models.

• Examines security delivered as a service—a different facet of cloud security.

This edited book is a compilation of scholarly articles on the latest developments in the field of AI, Blockchain, and ML/DL in cloud security. This book is designed for security and risk assessment professionals, and to help undergraduate, postgraduate students, research scholars, academicians, and technology professionals who are interested in learning practical approaches to cloud security. It covers practical strategies for assessing the security and privacy of cloud infrastructure and applications and shows how to make cloud infrastructure secure to combat threats and attacks, and prevent data breaches. The chapters are designed with a granular framework, starting with the security concepts, followed by hands-on assessment techniques based on real-world studies. Readers will gain detailed information on cloud computing security that—until now—has been difficult to access.

This book:

• Covers topics such as AI, Blockchain, and ML/DL in cloud security.

• Presents several case studies revealing how threat actors abuse and exploit cloud environments to spread threats.

• Explains the privacy aspects you need to consider in the cloud, including how they compare with aspects considered in traditional computing models.

• Examines security delivered as a service—a different facet of cloud security.

This edited book is a compilation of scholarly articles on the latest developments in the field of AI, Blockchain, and ML/DL in cloud security. This book is designed for security and risk assessment professionals, and to help undergraduate, postgraduate students, research scholars, academicians, and technology professionals who are interested in learning practical approaches to cloud security. It covers practical strategies for assessing the security and privacy of cloud infrastructure and applications and shows how to make cloud infrastructure secure to combat threats and attacks, and prevent data breaches. The chapters are designed with a granular framework, starting with the security concepts, followed by hands-on assessment techniques based on real-world studies. Readers will gain detailed information on cloud computing security that—until now—has been difficult to access.

This book:

• Covers topics such as AI, Blockchain, and ML/DL in cloud security.

• Presents several case studies revealing how threat actors abuse and exploit cloud environments to spread threats.

• Explains the privacy aspects you need to consider in the cloud, including how they compare with aspects considered in traditional computing models.

• Examines security delivered as a service—a different facet of cloud security.