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Full Description
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.
Contents
1. Navigating the Landscape of Security Threat Analysis in Cloud Computing Environments, 2. Security Aspects of Cloud, Fog, and Edge Computing, 3. Security Aspects in Cloud Computing, 4. Cloud Storage Security Using Blockchain, 5. Machine Learning and Deep Learning Models for Data Privacy and Security, 6. Cyber Physical System and Enabling Technologies: Opportunity, Challenges, and Applications, 7. Unveiling the Impact of Blockchain and Cryptocurrency on the Indian Economy: Exploring Modern Transaction Methods, 8. Analysis of Covid-19 Second Wave in India and Prediction Using Machine Learning Models, 9. Prediction of Chronic Kidney Disease Using BIRCH Algorithm in Machine Learning, 10. Machine Learning Based Prediction of Social Media Performance Metrics Using Facebook Data, 11. How Does Clustering Help Us with Better Understanding in Social Text Streams?: Data Clustering and Classification with ML and DL, 12. AI/ML Revolutionizing Social Media and Business: A Comprehensive Study, 13. Remote Sensing And Machine Learning, 14. Revolutionizing Sales And Marketing: The Power Of AI in Action, 15. A Novel Framework for Stock Market Prediction Using Deep Learning Techniques
