Machine Learning, Blockchain, and Cyber Security in Smart Environments
eBook - ePub

Machine Learning, Blockchain, and Cyber Security in Smart Environments

Application and Challenges

  1. 220 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Machine Learning, Blockchain, and Cyber Security in Smart Environments

Application and Challenges

About this book

Machine Learning, Cyber Security, and Blockchain in Smart Environment: Application and Challenges provides far-reaching insights into the recent techniques forming the backbone of smart environments, and addresses the vulnerabilities that give rise to the challenges in real-word implementation. The book focuses on the benefits related to the emerging applications such as machine learning, blockchain and cyber security.

Key Features:

  • Introduces the latest trends in the fields of machine learning, blockchain and cyber security
  • Discusses the fundamentals, challenges and architectural overviews with concepts
  • Explores recent advancements in machine learning, blockchain, and cyber security
  • Examines recent trends in emerging technologies

This book is primarily aimed at graduates, researchers, and professionals working in the areas of machine learning, blockchain, and cyber security.

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Yes, you can access Machine Learning, Blockchain, and Cyber Security in Smart Environments by Sarvesh Tanwar, Sumit Badotra, Ajay Rana, Sarvesh Tanwar,Sumit Badotra,Ajay Rana in PDF and/or ePUB format, as well as other popular books in Computer Science & E-Commerce. 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. Series Page
  4. Title Page
  5. Copyright Page
  6. Contents
  7. Preface
  8. Editors
  9. Contributors
  10. Introduction
  11. 1 Intelligent Green Internet of Things: An Investigation
  12. 2 The Role of Artificial Intelligence in the Education Sector: Possibilities and Challenges
  13. 3 Multidisciplinary Applications of Machine Learning
  14. 4 Prediction of Diabetics in the Early Stages Using Machine-Learning Tools and Microsoft Azure AI Services
  15. 5 Advanced Agricultural Systems: Identification, Crop Yields and Recommendations Using Image-Processing Techniques and Machine-Learning Algorithms
  16. 6 SP-IMLA: Stroke Prediction Using an Integrated Machine-Learning Approach
  17. 7 Multi-Modal Medical Image Fusion Using Laplacian Re-Decomposition
  18. 8 Blockchain Technology-Enabled Healthcare IoT to Increase Security and Privacy Using Fog Computing
  19. 9 Blockchain in Healthcare, Supply-Chain Management, and Government Policies
  20. 10 Electricity and Hardware Resource Consumption in Cryptocurrency Mining
  21. 11 Cryptographic Hash Functions and Attack Complexity Analysis
  22. 12 Mixed Deep Learning and Statistical Approach to Network Anomaly Detection
  23. 13 Intrusion Detection System Using Deep Learning Asymmetric Autoencoder (DLAA)
  24. Index