Book Title: Software Defined Network Frameworks: Security Issues and Use Cases
Publisher: CRC Press, Taylor & Francis Group, U.K.
Book Series: Computational Intelligence Techniques
Submission Link: https://forms.gle/Ar8TKx3bRtWEYSBPA [Google Form]
Book Editors:
Dr. Mandeep Kaur, Sharda University, Greater Noida, India
Dr. Vishal Jain, Sharda University, Greater Noida, India
Dr. Parma Nand, Sharda University, Greater Noida, India
Dr. Nitin Rakesh, Sharda University, Greater Noida, India
SCOPE OF THE BOOK: Software Defined Network (SDN) is an emerging approach as a new network innovation architecture that has overcome the limitation of traditional network architecture to adapt to dynamic environments. Virtualization has played a vital role in defining such dynamic network architectures where centralized control is feasible; architecture of switches can be configured dynamically etc. With SDN, the data plane can be separated from control plane and hence the system abstraction has increased. Defining and understanding the control and management software stack for SDN is indeed important. In addition to centralized network control, the current state of the OpenFlow model which is the well known SDN protocol can also be explored. Network Function Virtualization (NFV) is another promising technology with many benefits like easy management and utilization of resources, reducing the operational cost, migrate network functions from a dedicated hardware scenario to virtual machines. These benefits have increased the growth of cloud services and applications to run on converged infrastructures. The analysis of SDN contributions for cloud computing security becomes an intrinsic part when Network Function Virtualization (NFV) is completely embedded in Cloud Computing. Since the network is automated, it becomes prone to various alerts for security threats. Studying the various security protocols, security analysis and implementing SDN Network Security in SDN Environments is crucial. Cognitive Software Defined Networks (CSDN) enables the network management to be automatic that integrate the programming control of SDN with dynamism of cognitive networking. In another domain, SDN also augment traditional IP control planes in wireless area network. SDN architecture also allows applying its features to alleviate the challenges of 5 v’s of big data. Some potential SDN solutions address the security issues in Big Data and also improve the quality of service of application with Big Data & SDN. The major focus of this book is to present the research related to the Cognitive SDN, SDN with Cloud Computing, SDN in WAN, SDN and Big Data.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
Introduction to Software-Defined Networking
Software Defined Networking Architecture
Virtualization support in software-defined networks
Control and management software stack for SDN
OpenStack Frameworks
Network function virtualization
Research Issues, Challenges and Opportunities
Visualize SDN infrastructure - Real-time SDN monitoring
SDN-based Cloud Computing Networking
Cloud Computing and Virtualization
Applying Software-defined Networks to Cloud
Analysis of SDN Contributions for Cloud Computing Security
Network Function Virtualization (NFV) Based in Cloud Computing
Security Issues in SDN
Security issues in SDN & its solutions
Securing Software Defined Wireless Networks
Attacks and vulnerabilities in SDN
Security protocols for SDN
Security analysis for SDN environment
Implementing SDN Network Security in SDN Environments
Security solutions with P4-based programmable Data plane
Edge Security and IoT
Towards Software Defined Cognitive Networking
Cognitive Software Defined Networks (CSDN)
Tools and Technologies for data analysis in CSDN
CSDN standardization and implementation challenges
CSDN algorithms for network security
SDN in WAN
Augmenting traditional IP control planes to SDN
Software defined IP Routing and SDN Route Control
Routing-centric research use cases
Big Data and Software Defined Networks
Introduction to Big Data
Big Data in Cloud Data Centers
Implementing Vs in Big Data with SDN
Addressing the security issues in Big Data with SDN
Improving the quality of service of application with Big Data & SDN
Future of SDN
Simulation tools and experimental testbeds
SDN implications for research and Innovation
Potential Novel application of Open SDN
SUBMISSION PROCEDURE: Researchers and practitioners are invited to submit on or before 15th November a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by 30th November about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by 15th January, 2023 and all interested authors must consult the guidelines for manuscript submissions at https://www.crcpress.com/assets/images/crc/T%26F%20Text%20Preparation%20Instructions_Disk_Word_v1_1.pdf prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.
PUBLISHER: This book is scheduled to be published by CRC Press, Taylor & Francis Group. CRC Press is a premier global publisher of science, technology, and medical resources. We offer unique, trusted content by expert authors, spreading knowledge and promoting discovery worldwide. We aim to broaden thinking and advance understanding in the sciences, providing researchers, academics, professionals, and students with the tools they need to share ideas and realize their potential. Details are available at: https://www.crcpress.com/.
All manuscript submissions to the book should be sent through the online submission system: https://forms.gle/TdWKiz2Ti4H9FAG4A [Google Form]
CONTACT:
For any queries please contact: Dr. Vishal Jain; Email: drvishaljain83@gmail.com; Mobile: +91 9899997263
Note: After the publication, the publisher will submit the book to Scopus for possible indexing.