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Software-Defined Network Frameworks Security Issues and Use Cases Computational Intelligence Techniques Series

Langue : Anglais

Coordonnateurs : Kaur Mandeep, Jain Vishal, Nand Parma, Rakesh Nitin

Couverture de l’ouvrage Software-Defined Network Frameworks

Software-Defined Networks (SDN) work by virtualization of the network and the Cognitive Software-Defined Network (CSDN) combines the efficiencies of SDN with cognitive learning algorithms and enhanced protocols to automatize SDN. Partial deployment of SDN along with traditional networking devices forms a Hybrid Software-Defined Network (HSDN). Software-Defined Network Frameworks: Security Issues and Use Cases consolidates the research relating to the security in SDN, CSDN, and Hybrid SDNs. The security enhancements derived from the use of various SDN frameworks and the security challenges thus introduced, are also discussed. Overall, this book explains the different architectures of SDNs and the security challenges needed for implementing them.

Features:

  • Illustrates different frameworks of SDN and their security issues in a single volume
  • Discusses design and assessment of efficient SDN northbound/southbound interfaces
  • Describes cognitive computing, affective computing, machine learning, and other novel tools
  • Illustrates coupling of SDN and traditional networking ? Hybrid SDN
  • Explores services, technologies, algorithms, and methods for data analysis in CSDN

The book is aimed at researchers and graduate students in software engineering, network security, computer networks, high performance computing, communications engineering, and intelligent systems.

1.A System Model of Fault Tolerance Technique in Distributed System and Scalable System Using Machine Learning

2.An Overview of Software-Defined Network Frameworks

3.Security issues in Software Defined Networks & its Solutions

4.Importance of Dynamic Load Balancing and Virtualization role in Dynamic Load Balancing

5.Predicting Consumer Behaviours with Data Analytics for Decision Making

6.Software-Defined Networking (SDN): Revolutionizing Network Infrastructure for the Future

7.Software-Defined Network: Security Solutions, Applications and Future

8.Multi-Hop Routing Protocol in SDN-Based Wireless Sensor Network: A Comprehensive Survey

9.Performance Analysis of Load Balancing Algorithm with Cloud Computing- A Survey

10.Comprehensive Survey of Implementing Multiple Controllers In A Software Defined Network

11.Control Plane Security Issues in Software Defined Networking: A Comprehensive Review

12.Assessment on Role of IoT in Electronic Banking Industry

13.Investigation on SDN Attacks and Solutions in 5G Mobile Network

14.Designing Intrusion Detection Systems for Software Defined Networks using Deep Learning/Machine Learning Techniques

15.The Essence of Software Defined Network in Big Data Analytics

16.TCPFlood Defender: TCP SYN Flood Attacks Detection in SDN Environment Using Statistical and Ensemble Machine Learning Methods

Academic and Postgraduate

Dr. Mandeep Kaur is presently working as an Associate Professor at the Department of Computer Science & Engineering, Sharda University. Dr. Kaur has completed her B.Tech in CSE from UPTU, M.Tech in CSE from PTU & completed Ph.D from Sharda University. Her topic of research was “Thought Recognition: Knowledge Discovery from EEG Signals and Classifying by Classifier Ensemble”. Dr Kaur has 17+ years of Teaching Experience in various technical Universities/ Institutions. She is Ph.D Coordinator (SET), IoT Program Coordinator, Mentor and guiding research investigations for under-graduate, post-graduate engineering students & Ph.D scholars in the areas including Image Processing, Software Engineering, Artificial Intelligence, Internet of Things, DBMS, Soft Computing.

Dr. Vishal Jain is presently working as an Associate Professor at Department of Computer Science and Engineering, Sharda School of Engineering and Technology, Sharda University, Greater Noida, U. P., India. Before that, he has worked for several years as an Associate Professor at Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi. He has more than 16 years of experience in the academics. He obtained Ph.D (CSE), M.Tech (CSE), MBA (HR), MCA, MCP and CCNA. He has more than 1130 research citation indices with Google Scholar (h-index score 17 and i-10 index 27). He has authored more than 95 research papers in reputed conferences and journals, including Web of Science and Scopus. He has authored and edited more than 45 books with various reputed publishers. He is the series editor of 10 book series. He is life member of CSI, ISTE and senior member of IEEE. His research areas include information retrieval, semantic web, ontology engineering, data mining, ad hoc networks, and sensor networks. He received a Young Active Member Award for the year 2012–13 from the Computer Society of India, Best Faculty Award for the year 2017 and Best Researche

Date de parution :

15.6x23.4 cm

Disponible chez l'éditeur (délai d'approvisionnement : 14 jours).

135,96 €

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