Blockchain and Machine Learning for IoT Security
eBook - ePub

Blockchain and Machine Learning for IoT Security

  1. 152 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Blockchain and Machine Learning for IoT Security

About this book

The Internet of Things (IoT) involves physical devices, cars, household appliances, and any other physical appliance equipped with sensors, software, and network connections to gather and communicate data. Nowadays, this technology is embedded in everything from simple smart devices, to wearable equipment, to complex industrial machinery and transportation infrastructures. On the other hand, IoT equipment has been designed without considering security issues. Consequently, there are many challenges in terms of protection against IoT threats, which can lead to distressing situations. In fact, unlike other technological solutions, there are few standards and guidelines governing the protection of IoT technology. Moreover, few users are aware of the risks associated with IoT systems.

Hence, Blockchain and Machine Learning for IoT Security discusses various recent techniques and solutions related to IoT deployment, especially security and privacy. This book addresses a variety of subjects, including a comprehensive overview of the IoT, and covers in detail the security challenges at each layer by considering how both the architecture and underlying technologies are employed. As acknowledged experts in the field, the authors provide remediation solutions for impaired security, as well as mitigation methods, and offer both prevention and improvement suggestions.

Key Features:

  • Offers a unique perspective on IoT security by introducing Machine Learning and Blockchain solutions
  • Presents a well-rounded overview of the most recent advances in IoT security and privacy
  • Discusses practical solutions and real-world cases for IoT solutions in various areas
  • Provides solutions for securing IoT against various threats
  • Discusses Blockchain technology as a solution for IoT

This book is designed to provide all the necessary knowledge for young researchers, academics, and industry professionals who want to understand the advantages of artificial intelligence technology, machine learning, data analysis methodology, and Blockchain for securing IoT technologies.

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Yes, you can access Blockchain and Machine Learning for IoT Security by Mourade Azrour, Jamal Mabrouki, Azidine Guezzaz, Said Benkirane, Mourade Azrour,Jamal Mabrouki,Azidine Guezzaz,Said Benkirane 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
Chapman and Hall/CRC
Year
2024
Print ISBN
9781032563442
eBook ISBN
9781003844938
Edition
1
Topic
Computer Science
Subtopic
Cyber Security
Index
Computer Science

Table of contents

  1. Cover
  2. Half-Title
  3. Title
  4. Copyright
  5. Contents
  6. About the Editors
  7. Contributors
  8. Chapter 1 Google Trend Analysis of Airport Passenger Throughputs: Case Study of Murtala Muhammed International Airport
  9. Chapter 2 Blockchain Technology Overview: Architecture, Proposed and Future Trends
  10. Chapter 3 Innovative Approach for Optimized IoT Security Based on Spatial Network Voronoï Diagrams, Network Centrality, and ML-enabled Blockchain
  11. Chapter 4 The Combination of Blockchain and the Internet of Things (IoT): Applications, Opportunities, and Challenges for Industry
  12. Chapter 5 Security Issues in Internet of Medical Things
  13. Chapter 6 Intrusion Detection Framework Using AdaBoost Algorithm and Chi-Squared Technique
  14. Chapter 7 A Collaborative Intrusion Detection Approach Based on Deep Learning and Blockchain
  15. Chapter 8 GVGB-IDS: An Intrusion Detection System Using Graphic Visualization and Gradient Boosting for Cloud Monitoring
  16. Chapter 9 Design and Implementation of Intrusion Detection Model with Machine Learning Techniques for IoT Security
  17. INDEX