Software-Defined Network Frameworks (Computational Intelligence Techniques)

Cover
Half Title
Series Page
Title Page
Copyright Page
Table of Contents
Preface
Editors
List of Contributors
Chapter 1 A System Model of Fault Tolerance Technique in Distributed System and Scalable System Using Machine Learning
Chapter 2 An Overview of Software-Defined Network (SDN) Frameworks
Chapter 3 Security Issues in Software-Defined Networks and Its Solutions
Chapter 4 Importance of Dynamic Load Balancing and Virtualization Role in Dynamic Load Balancing
Chapter 5 Predicting Consumer Behaviors with Data Analytics for Decision-Making
Chapter 6 Software-Defined Networking (SDN): Revolutionizing Network Infrastructure for the Future
Chapter 7 Software-Defined Network: Security Solutions, Applications, and Future
Chapter 8 Multi-Hop Routing Protocol in SDN-Based Wireless Sensor Network: A Comprehensive Survey
Chapter 9 Performance Analysis of Load Balancing Algorithm with Cloud Computing: A Survey
Chapter 10 Comprehensive Survey of Implementing Multiple Controllers in a Software-Defined Network (SDN)
Chapter 11 Control Plane Security Issues in Software-Defined Networking: A Comprehensive Review
Chapter 12 Assessment of the Role of IoT in Electronic Banking Industry
Chapter 13 Investigation of SDN Attacks and Solutions in 5G Mobile Network
Chapter 14 Designing Intrusion Detection Systems for Software-Defined Networks Using Deep Learning/Machine Learning Techniques
Chapter 15 The Essence of Software-Defined Network in Big Data Analytics
Chapter 16 TCPFlood Defender: TCP SYN Flood Attacks Detection in SDN Environment Using Statistical and Ensemble Machine Learning Methods
Index