Intelligent network management and control : intelligent security, multi-criteria optimization, cloud computing, Internet of Vehicles, intelligent radio için kapak resmi
Başlık:
Intelligent network management and control : intelligent security, multi-criteria optimization, cloud computing, Internet of Vehicles, intelligent radio
Yazar:
Benmammar, Badr.
ISBN:
9781119817840

9781119817833
Yayın Bilgileri:
London : ISTE, Ltd. ; Hoboken : Wiley, 2021.
Fiziksel Tanımlama:
1 online resource (298 pages)
Genel Not:
5.2. Scientific and technical prerequisites.
İçerik:
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
Özet:
This book 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. -- Edited summary from book.
Notlar:
John Wiley and Sons
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