Zero-Trust Learning
eBook - ePub

Zero-Trust Learning

Applications in Modern Network Security’

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

Zero-Trust Learning

Applications in Modern Network Security’

About this book

In this internet age of security challenges and threats from cybercrime, enhanced security measures are necessary. The zero trust model—the IT security model that requires strict identity verification for every person and device trying to access resources on a private network—helps to meet these everincreasing and evolving security challenges. This new volume offers a comprehensive overview of the zero trust security model and its application in the field of cybersecurity, covering the principles, technologies, and best practices for implementing a zero trust approach, equipping readers with the knowledge and tools to secure their digital environments effectively. This book stands out by providing a holistic view of the zero trust security model, combining practical guidance for professionals with educational insights for both professionals and students and offering real-world examples and case studies that bridge the gap between learning and implementation.

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Yes, you can access Zero-Trust Learning by Chetna Kaushal,Amandeep Kaur,Mohit Angurala,Aryan Chaudhary in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Industrial Health & Safety. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half Title page
  3. Title Page
  4. Copyright Page
  5. About the Editors
  6. Contents
  7. Contributors
  8. Preface
  9. 1. Zero-Trust Fundamentals
  10. 2. Importance of Zero Trust and Transformation of Modern Network Security
  11. 3. Advantages of Zero-Trust Security
  12. 4. A Comprehensive Study on Zero-Trust Frameworks
  13. 5. The AI-Zero-Trust Alliance Reinventing Cybersecurity for the Digital Age
  14. 6. The Role of Artificial Intelligence in Zero-Trust Learning
  15. 7. Enhancing Educational Security with AI and Zero-Trust Principles
  16. 8. Enhancing Malicious Software Classification with RGB Visualization and Zero-Trust Security
  17. 9. Enhancing Network Security with Zero-Trust Principles and Anonymous Identity Authentication
  18. 10. Evolutionary Approach for Cybersecurity Situational Assessment in Zero-Trust Networks
  19. 11. Leveraging AI and Zero-Trust Principles for Improved Security
  20. 12. Machine Learning-Based Zero-Trust Framework for Advanced Network Security
  21. 13. Mitigating the Risk of Lateral Movement Within a Network
  22. 14. Possess Thorough Knowledge of Zero-Trust Principles
  23. 15. Why Perimeter Security is No Longer Enough: Observations and Open Challenges
  24. 16. Cloud-Enhanced Fault-Tolerant Key Selection for Zero-Trust Network Security in Side-Channel Attacks
  25. 17. Zero-Trust Evolution and Cloud Computing Security as Multi-Mission Engineering: Addressing Emerging Threats, Regulations, and Modeling Solutions via Enhancing Blockchain Consensus Algorithm to Mitigate Data Repository Breaches
  26. 18. Zero-Trust Approach for Secure Healthcare System
  27. 19. Zero-Trust Blockchain Privacy Solution with Homomorphic Encryption
  28. 20. AI-Powered Security in Zero-Trust Learning: Enhancing Safety and Adaptability
  29. 21. The Future of AI in Zero-Trust Learning
  30. Index