Information Centric Networks (ICN): Architecture & Current Trends

This book provides an overview of the Internet of Communication Networks (ICN) and its various architectures, issues, and challenges. It discusses the SDN framework for implementing ICN, machine learning models for predicting future trends, and security issues in ICN. The book is useful for researchers, undergraduate and graduate students, and network administrators.

Format: Hardback
Length: 194 pages
Publication date: 28 August 2021
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the intricate world of the Internet Communication Network (ICN), offering a deep understanding of its various architectures, challenges, and opportunities. It begins by introducing the concept of ICN and its origins, highlighting the driving forces behind this innovative networking paradigm. The book then explores the diverse range of architectures proposed to implement ICN, providing detailed insights into their design principles and functionalities.

Recognizing the inherent challenges associated with ICN implementation, the book dedicates individual chapters to address caching, naming, routing, and security. Each challenge is explored in depth, considering the latest developments and solutions to overcome them. Furthermore, the book emphasizes the integration of current trends in communication and computing, such as software-defined networking and machine learning approaches, to enhance the capabilities and efficiency of ICN.

Throughout the chapters, the book highlights the latest developments and research in the field of ICN. It discusses the emerging trends, applications, and use cases that are shaping the future of networking. The authors provide valuable insights and perspectives, drawing from their extensive experience and expertise in the area.

In addition to its theoretical content, the book includes three unique chapters that delve into specific areas of ICN research. The first chapter focuses on the Software-Defined Networking (SDN) framework, which is instrumental in implementing ICN by decoupling data and control planes. The second chapter explores the use of machine learning models for predicting future trends in network traffic and other management activities, offering valuable insights for network administrators and service providers. The third chapter addresses the critical security issues in ICN, covering various factors that influence network security and discussing recent works in naming, caching, and routing.

Overall, this book serves as a valuable resource for researchers, engineers, and professionals interested in ICN and its potential applications. It provides a comprehensive overview of the current state-of-the-art in ICN, covering its architectures, challenges, and opportunities. With its in-depth analysis and practical insights, the book equips readers with the knowledge and tools necessary to navigate the complexities of this emerging networking paradigm and contribute to its future development.

Weight: 477g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030467357
Edition number: 1st ed. 2021