eBook - ePub

About this book

This book sheds light on the cyber security challenges associated with nextgeneration computing technologies, emphasizing the serious threats posed to individuals, businesses, and nations. With everything becoming increasingly interconnected via the Internet, data security becomes paramount. As technology advances, people need to secure their data communication processes. Personal data security, including data integrity and confidentiality, is particularly vulnerable. Therefore, the concept of cyber security forensics emerges to ensure data security for everyone, addressing issues such as data control, hijacking, and threats to personal devices such as mobile phones, laptops, and other smart technologies. This book covers key topics related to cyber security in next-generation computing technologies, ultimately enhancing the quality of life for citizens, facilitating interaction with smart governments, and promoting secure communication processes.

KEY FEATURES

  • Highlights innovative principles and practices using next generation computing technologies based cybersecurity
  • Presents an introduction to recent trends regarding the convergence of AI/ML in cybersecurity
  • Offers an overview of theoretical, practical, simulation concepts of cybersecurity

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Yes, you can access Cyber Security for Next-Generation Computing Technologies by Inam Ullah Khan, Mariya Ouaissa, Mariyam Ouaissa, Zakaria Abou El Houda, Muhammad Fazal Ijaz, Inam Ullah Khan,Mariya Ouaissa,Mariyam Ouaissa,Zakaria Abou El Houda,Muhammad Fazal Ijaz,Inam Ullah Khan Ullah Khan, Inam Ullah Khan Ullah Khan, Mariya Ouaissa, Mariyam Ouaissa, Zakaria Abou El Houda, Muhammad Fazal Ijaz in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. Contents
  6. Preface
  7. About the Editors
  8. List of Contributors
  9. Chapter 1 Cyber Security: Future Trends and Solutions
  10. Chapter 2 Security and Intelligent Management: Survey
  11. Chapter 3 Comparative Analysis of Machine and Deep Learning for Cyber Security
  12. Chapter 4 AI-Based Secure Wireless Communication Technologies and Cyber Threats for IoT Networks
  13. Chapter 5 Cyber Threat Actors Review: Examining the Tactics and Motivations of Adversaries in the Cyber Landscape
  14. Chapter 6 Layer-Based Security Threats in IoT Networks
  15. Chapter 7 Intrusion Detection System Using AI and Machine Learning Algorithm
  16. Chapter 8 Signature-Based Intrusion Detection System for IoT
  17. Chapter 9 Hybrid Model for IoT-Enabled Intelligent Towns Using the MQTT-IoT-IDS2020 Dataset
  18. Chapter 10 Cyber Security for Edge/Fog Computing Applications
  19. Chapter 11 Cyber Attacks Against Intelligent Transportation Systems
  20. Chapter 12 Intelligent Transportation Systems for IoT-Based UAV Networks
  21. Chapter 13 Cyber Attack Detection Analysis Using Machine Learning for IoT-Based UAV Network
  22. Chapter 14 Blockchain Solutions for Cyber Criminals
  23. Chapter 15 Blockchain Security Measures to Combat Cyber Crime
  24. Chapter 16 AI Classification Algorithms for Human Activities Recognition System With a Cyber Security Perspective