Computational Intelligent Security in Wireless Communications
eBook - ePub

Computational Intelligent Security in Wireless Communications

  1. 296 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Computational Intelligent Security in Wireless Communications

About this book

Wireless network security research is multidisciplinary in nature, including data analysis, economics, mathematics, forensics, information technology, and computer science. This text covers cutting-edge research in computational intelligence systems from diverse fields on the complex subject of wireless communication security.

It discusses important topics including computational intelligence in wireless network and communications, artificial intelligence and wireless communication security, security risk scenarios in communications, security/resilience metrics and their measurements, data analytics of cyber-crimes, modeling of wireless communication security risks, advances in cyber threats and computer crimes, adaptive and learning techniques for secure estimation and control, decision support systems, fault tolerance and diagnosis, cloud forensics and information systems, and intelligent information retrieval.

The book:

  • Discusses computational algorithms for system modeling and optimization in security perspective
  • Focuses on error prediction and fault diagnosis through intelligent information retrieval via wireless technologies
  • Explores a group of practical research problems where security experts can help develop new data-driven methodologies
  • Covers application on artificial intelligence and wireless communication security risk perspective

The text is primarily written for senior undergraduate, graduate students, and researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.

The text comprehensively discusses wide range of wireless communication techniques with emerging computational intelligent trends, to help readers understand the role of wireless technologies in applications touching various spheres of human life with the help of hesitant fuzzy sets based computational modeling. It will be a valuable resource for senior undergraduate, graduate students, and researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.

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Yes, you can access Computational Intelligent Security in Wireless Communications by Suhel Ahmed Khan, Rajeev Kumar, Omprakash Kaiwartya, Raees Ahmad Khan, Mohammad Faisal, Suhel Ahmed Khan,Rajeev Kumar,Omprakash Kaiwartya,Raees Ahmad Khan,Mohammad Faisal in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-Title
  3. Series
  4. Title
  5. Copyright
  6. Contents
  7. Preface
  8. Editors
  9. Acknowledgment
  10. Contributor List
  11. Chapter 1 An investigation on Cooperative Communication Techniques in Mobile Ad-Hoc Networks
  12. Chapter 2 IoE-Based Genetic Algorithms and Their Requisition
  13. Chapter 3 A Framework for Hybrid WBSN-VANET-based Health Monitoring Systems
  14. Chapter 4 Managing IoT – Cloud-based Security: Needs and Importance
  15. Chapter 5 Predictive Maintenance in Industry 4.0
  16. Chapter 6 Fast and Efficient Lightweight Block Ciphers Involving 2d-Key Vectors for Resource-Poor Settings
  17. Chapter 7 Sentiment Analysis of Scraped Consumer Reviews (SASCR) Using Parallel and Distributed Analytics Approaches on Big Data in Cloud Environment
  18. Chapter 8 The UAV-Assisted Wireless Ad hoc Network
  19. Chapter 9 Integrating Cybernetics into Healthcare Systems: Security Perspective
  20. Chapter 10 Threats and Countermeasures in Digital Crime and Cyberterrorism
  21. Chapter 11 Cryptography Techniques for Information Security: A Review
  22. Chapter 12 A Critical Analysis of Cyber Threats and Their Global Impact
  23. Chapter 13 A Cybersecurity Perspective of Machine Learning Algorithms
  24. Chapter 14 Statistical Trend in Cyber Attacks and Security Measures
  25. Index