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Intelligent network management and control : intelligent security, multi-criteria optimization, cloud computing, Internet of Vehicles, intelligent radio /

Bibliographic Details
Other Authors: Benmammar, Badr
Format: eBook
Language:English
Published: London : Hoboken : ISTE, Ltd. ; Wiley, 2021.
Subjects:
Computer networks > Security measures.
Artificial intelligence.
Internet of things.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Cover
  • Half-Title Page
  • Title Page
  • Copyright Page
  • Contents
  • Introduction
  • PART 1: AI and Network Security
  • 1 Intelligent Security of Computer Networks
  • 1.1. Introduction
  • 1.2. AI in the service of cybersecurity
  • 1.3. AI applied to intrusion detection
  • 1.3.1. Techniques based on decision trees
  • 1.3.2. Techniques based on data exploration
  • 1.3.3. Rule-based techniques
  • 1.3.4. Machine learning-based techniques
  • 1.3.5. Clustering techniques
  • 1.3.6. Hybrid techniques
  • 1.4. AI misuse
  • 1.4.1. Extension of existing threats
  • 1.4.2. Introduction of new threats
  • 1.4.3. Modification of the typical threat character
  • 1.5. Conclusion
  • 1.6. References
  • 2 An Intelligent Control Plane for Security Services Deployment in SDN-based Networks
  • 2.1. Introduction
  • 2.2. Software-defined networking
  • 2.2.1. General architecture
  • 2.2.2. Logical distribution of SDN control
  • 2.3. Security in SDN-based networks
  • 2.3.1. Attack surfaces
  • 2.3.2. Example of security services deployment in SDN-based networks: IPSec service
  • 2.4. Intelligence in SDN-based networks
  • 2.4.1. Knowledge plane
  • 2.4.2. Knowledge-defined networking
  • 2.4.3. Intelligence-defined networks
  • 2.5. AI contribution to security
  • 2.5.1. ML techniques
  • 2.5.2. Contribution of AI to security service: intrusion detection
  • 2.6. AI contribution to security in SDN-based networks
  • 2.7. Deployment of an intrusion prevention service
  • 2.7.1. Attack signature learning as cloud service
  • 2.7.2. Deployment of an intrusion prevention service in SDN-based networks
  • 2.8. Stakes
  • 2.9. Conclusion
  • 2.10. References
  • PART 2: AI and Network Optimization
  • 3 Network Optimization using Artificial Intelligence Techniques
  • 3.1. Introduction
  • 3.2. Artificial intelligence
  • 3.2.1. Definition
  • 3.2.2. AI techniques
  • 3.3. Network optimization
  • 3.3.1. AI and optimization of network performances
  • 3.3.2. AI and QoS optimization
  • 3.3.3. AI and security
  • 3.3.4. AI and energy consumption
  • 3.4. Network application of AI
  • 3.4.1. ESs and networks
  • 3.4.2. CBR and telecommunications networks
  • 3.4.3. Automated learning and telecommunications networks
  • 3.4.4. Big data and telecommunications networks
  • 3.4.5. MASs and telecommunications networks
  • 3.4.6. IoT and networks
  • 3.5. Conclusion
  • 3.6. References
  • 4 Multicriteria Optimization Methods for Network Selection in a Heterogeneous Environment
  • 4.1. Introduction
  • 4.2. Multicriteria optimization and network selection
  • 4.2.1. Network selection process
  • 4.2.2. Multicriteria optimization methods for network selection
  • 4.3. Modified-SAW for network selection in a heterogeneous environment
  • 4.3.1. Modified-SAW proposed method
  • 4.3.2. Performance evaluation
  • 4.4. Conclusion
  • 4.5. References
  • PART 3: AI and the Cloud Approach
  • 5 Selection of Cloud Computing Services: Contribution of Intelligent Methods
  • 5.1. Introduction