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Security and Privacy for Big Data, Cloud Computing and Applications

Book Details
Author Wei Ren, Lizhe Wang, Kim-Kwang Raymond Choo, Fatos Xhafa
Publisher The Institution of Engineering and Technology
Year 2019
Language English
Pages 312
Size 7.13 MB
Format PDF

Summary

A comprehensive guide on security and privacy for big data, cloud computing, and applications, written by Wei Ren, Lizhe Wang, Kim-Kwang Raymond Choo, and Fatos Xhafa. This book explores various aspects of security and privacy in the context of big data and cloud computing, offering practical advice and strategies for protecting data and applications. It covers topics such as access management, data protection, network security, and regulatory compliance. In addition to technical aspects, the book includes real-world case studies and concrete examples to help readers understand concepts and apply their knowledge effectively. Perfect for online science book enthusiasts, it provides essential insights into security and privacy for big data and cloud computing.

Main Features

  • Introduction to security and privacy for big data and cloud computing
  • Techniques for protecting data and applications
  • Case studies and real-world examples
  • Clear and detailed explanations
  • Access to free scientific PDF books

About the Authors

Wei Ren, Lizhe Wang, Kim-Kwang Raymond Choo, and Fatos Xhafa are recognized experts in the field of security and privacy for big data and cloud computing. With extensive experience in teaching and research, they have published numerous articles and books on best practices in data and application security and privacy. This book reflects their expertise and commitment to education and innovation in security and privacy for big data and cloud computing.

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Frequently Asked Questions

Q: How to download the PDF book?

A: Click on the provided download link above.

Q: How to read the PDF book?

A: Use a PDF reader such as Adobe Acrobat Reader.

Q: What can I learn from this book?

A: Learn about security and privacy techniques for big data and cloud computing.

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