Security and Risk Analysis for Intelligent Cloud Computing

This book PDF is perfect for those who love Computers genre, written by Ajay Kumar and published by CRC Press which was released on 19 December 2023 with total hardcover pages 368. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Security and Risk Analysis for Intelligent Cloud Computing books below.

Security and Risk Analysis for Intelligent Cloud Computing
Author : Ajay Kumar
File Size : 52,7 Mb
Publisher : CRC Press
Language : English
Release Date : 19 December 2023
ISBN : 9781003803690
Pages : 368 pages
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Security and Risk Analysis for Intelligent Cloud Computing by Ajay Kumar Book PDF Summary

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.

Security and Risk Analysis for Intelligent Cloud Computing

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

Get Book
Security and Risk Analysis for Intelligent Cloud Computing

"This edited book is a compilation of scholarly articles on the latest developments in the field of AI, Blockchain, ML/DL in cloud security. This book is designed for security and risk assessment professionals to help the students of undergraduate, postgraduate and research scholars, academicians, and technology professionals. Who are

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Security and Risk Analysis for Intelligent Edge Computing

This book offers the latest research results in security and privacy for Intelligent Edge Computing Systems. It presents state-of-the art content and provides an in-depth overview of the basic background in this related field. Practical areas in both security and risk analysis are addressed as well as connections directly linked

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Empirical Cloud Security

The second edition of the book has been updated with the latest research and developments in the field of cloud security. The content has been refined and streamlined to make it more accessible and engaging for readers. The book is designed for security and risk assessment professionals, DevOps engineers, penetration

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Privacy and Security for Cloud Computing

This book analyzes the latest advances in privacy, security and risk technologies within cloud environments. With contributions from leading experts, the text presents both a solid overview of the field and novel, cutting-edge research. A Glossary is also included at the end of the book. Topics and features: considers the

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Machine Learning Techniques and Analytics for Cloud Security

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

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Analyzing and Mitigating Security Risks in Cloud Computing

In the dynamic field of modern business, where cloud computing has become the primary focus of operations, a pressing issue arises – the persistent concerns of security, privacy, and trust in cloud environments. Organizations find themselves at a crossroads, caught between the immense benefits of cloud adoption and the escalating challenges

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Privacy Risk Analysis

Privacy Risk Analysis fills a gap in the existing literature by providing an introduction to the basic notions, requirements, and main steps of conducting a privacy risk analysis. The deployment of new information technologies can lead to significant privacy risks and a privacy impact assessment should be conducted before designing

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