Big Data Analytics in Fog-Enabled IoT Networks
eBook - ePub

Big Data Analytics in Fog-Enabled IoT Networks

Towards a Privacy and Security Perspective

  1. 218 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Big Data Analytics in Fog-Enabled IoT Networks

Towards a Privacy and Security Perspective

Book details
Table of contents
Citations

About This Book

Focuses on the latest development in Big IoT Data Analytics
Presents different issues of Security and Privacy Analytics for Fog-enabled IoT system
Offers the latest Big Data Technologies for security analytics in Fog-enabled IoT Network
Discusses the emerging role of Big Data Analytics and Technologies in detection of Cyberattacks
in IoT networks
Presents the prospects on Big IoT Data Analytics in Fog-enabled IoT system

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Yes, you can access Big Data Analytics in Fog-Enabled IoT Networks by Govind P. Gupta, Rakesh Tripathi, Brij B. Gupta, Kwok Tai Chui, Govind P. Gupta, Rakesh Tripathi, Brij B. Gupta, Kwok Tai Chui in PDF and/or ePUB format, as well as other popular books in Computer Science & Cyber Security. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2023
ISBN
9781000861860
Edition
1
Topic
Computer Science
Subtopic
Cyber Security
Index
Computer Science

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. About the Editors
  8. Contributors
  9. Chapter 1 Deep Learning Techniques in Big Data-Enabled Internet-of-Things Devices
  10. Chapter 2 IoMT-based Smart Health Monitoring: The Future of Health Care
  11. Chapter 3 A Review on Intrusion Detection Systems and Cyber Threat Intelligence for Secure IoT-enabled Networks: Challenges and Directions
  12. Chapter 4 Self-adaptive Application Monitoring for Decentralized Edge Frameworks
  13. Chapter 5 Federated Learning and its Application in Malware Detection
  14. Chapter 6 An Ensemble XGBoost Approach for the Detection of Cyber-attacks in the Industrial IoT Domain
  15. Chapter 7 A Review on IoT for the Application of Energy, Environment, and Waste Management: System Architecture and Future Directions
  16. Chapter 8 Analysis of Feature Selection Methods for Android Malware Detection using Machine Learning Techniques
  17. Chapter 9 An Efficient Optimizing Energy Consumption using Modified Bee Colony Optimization in Fog and IoT Networks
  18. Index