Intelligent network management and control :  intelligent security, multi-criteria optimization, cloud computing, Internet of Vehicles, intelligent radio / 
coordinated by Badr Benmammar. 
 - London :  Hoboken :  ISTE, Ltd. ;  Wiley,  2021. 
 - 1 online resource (298 p.) 
<br/><br/> Description based upon print version of record.  5.2. Scientific and technical prerequisites. 
<br/><br/>Includes bibliographical references and index. 
<br/><br/>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 
<br/><br/><label>ISBN: </label>9781119817840 1119817846 9781119817833 1119817838 
<br/><br/><label>Standard No.: </label>10.1002/9781119817840  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer networks--Security measures.<br/>Artificial intelligence.<br/>Internet of things.<br/>Artificial intelligence.<br/>Computer networks--Security measures.<br/>Internet of things.
<br/><br/><label>Index Terms--Genre/Form: </label><br/>Electronic books.
<br/><br/><label>LC Class. No.: </label>TK5105.59 
<br/><br/><label>Dewey Class. No.: </label>005.8