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

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

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
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 & Computer Networking. We have over one million books available in our catalogue for you to explore.

Information

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