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Intelligent Network Management and Control

Release Date: 2021/05/01
ISBN: 9781789450088
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The management and control of networks can no longer be envisaged without the introduction of artificial intelligence at all stages.

Intelligent Network Management and Control deals with topical issues related mainly to intelligent security of computer networks, deployment of security services in SDN (software-defined networking), optimization of networks using artificial intelligence techniques and multi-criteria optimization methods for selecting networks in a heterogeneous environment.

This book also focuses on selecting cloud computing services, intelligent unloading of calculations in the context of mobile cloud computing, intelligent resource management in a smart grid-cloud system for better energy efficiency, new architectures for the Internet of Vehicles (IoV), the application of artificial intelligence in cognitive radio networks and intelligent radio input to meet the on-road communication needs of autonomous vehicles.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Introduction
  5. PART 1: AI and Network Security
    1. 1 Intelligent Security of Computer Networks
    2. 1.1. Introduction
    3. 1.2. AI in the service of cybersecurity
    4. 1.3. AI applied to intrusion detection
    5. 1.4. AI misuse
    6. 1.5. Conclusion
    7. 1.6. References
    8. 2 An Intelligent Control Plane for Security Services Deployment in SDN-based Networks
    9. 2.1. Introduction
    10. 2.2. Software-defined networking
    11. 2.3. Security in SDN-based networks
    12. 2.4. Intelligence in SDN-based networks
    13. 2.5. AI contribution to security
    14. 2.6. AI contribution to security in SDN-based networks
    15. 2.7. Deployment of an intrusion prevention service
    16. 2.8. Stakes
    17. 2.9. Conclusion
    18. 2.10. References
  6. PART 2: AI and Network Optimization
    1. 3 Network Optimization using Artificial Intelligence Techniques
    2. 3.1. Introduction
    3. 3.2. Artificial intelligence
    4. 3.3. Network optimization
    5. 3.4. Network application of AI
    6. 3.5. Conclusion
    7. 3.6. References
    8. 4 Multicriteria Optimization Methods for Network Selection in a Heterogeneous Environment
    9. 4.1. Introduction
    10. 4.2. Multicriteria optimization and network selection
    11. 4.3. “Modified-SAW” for network selection in a heterogeneous environment
    12. 4.4. Conclusion
    13. 4.5. References
  7. PART 3: AI and the Cloud Approach
    1. 5 Selection of Cloud Computing Services: Contribution of Intelligent Methods
    2. 5.1. Introduction
    3. 5.2. Scientific and technical prerequisites
    4. 5.3. Similar works
    5. 5.4. Surveyed works
    6. 5.5. Conclusion
    7. 5.6. References
    8. 6 Intelligent Computation Offloading in the Context of Mobile Cloud Computing
    9. 6.1. Introduction
    10. 6.2. Basic definitions
    11. 6.3. MCC architecture
    12. 6.4. Offloading decision
    13. 6.5. AI-based solutions
    14. 6.6. Conclusion
    15. 6.7. References
  8. PART 4: AI and New Communication Architectures
    1. 7 Intelligent Management of Resources in a Smart Grid-Cloud for Better Energy Efficiency
    2. 7.1. Introduction
    3. 7.2. Smart grid and cloud data center: fundamental concepts and architecture
    4. 7.3. State-of-the-art on the energy efficiency techniques of cloud data centers
    5. 7.4. State-of-the-art on the decision-aiding techniques in a smart grid-cloud system
    6. 7.5. Conclusion
    7. 7.6. References
    8. 8 Toward New Intelligent Architectures for the Internet of Vehicles
    9. 8.1. Introduction
    10. 8.2. Internet of Vehicles
    11. 8.3. IoV architectures proposed in the literature
    12. 8.4. Our proposal of intelligent IoV architecture
    13. 8.5. Stakes
    14. 8.6. Conclusion
    15. 8.7. References
  9. PART 5: Intelligent Radio Communications
    1. 9 Artificial Intelligence Application to Cognitive Radio Networks
    2. 9.1. Introduction
    3. 9.2. Cognitive radio
    4. 9.3. Application of AI in CR
    5. 9.4. Categorization and use of techniques in CR
    6. 9.5. Conclusion
    7. 9.6. References
    8. 10 Cognitive Radio Contribution to Meeting Vehicular Communication Needs of Autonomous Vehicles
    9. 10.1. Introduction
    10. 10.2. Autonomous vehicles
    11. 10.3. Connected vehicle
    12. 10.4. Communication architectures
    13. 10.5. Contribution of CR to vehicular networks
    14. 10.6. SERENA project: self-adaptive selection of radio access technologies using CR
    15. 10.7. Conclusion
    16. 10.8. References
  10. List of Authors
  11. Index
  12. End User License Agreement
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