This book discusses Information Centric Networks (ICN), particularly various architectures, issues and challenges in the new networking paradigm. This book begins with an introduction to the concept of ICN and its origin, along with the reason behind this interesting innovation. Different architectures proposed in support of implementing the ICN are also discussed in detail. Challenges of ICN implementation are enlisted such as caching, naming, routing, and security, and each of these challenges with recent developments are covered in this book. Moreover, integration of current trends in communication and computing, including software defined networking and machine learning approaches are introduced in this book.  

This book includes three unique chapters in the field of ICN research. The first is the SDN framework for implementing ICN by decoupling data and control plan. The machine learning models for predicting future trends in network traffic and other management activities is another important chapter. This chapter includes the possibilities of using machine learning models for trend prediction to help network administrators and service providers to take care of unexpected sudden change in traffic pattern and user behaviour. The third most vital chapter is the security issues in ICN. This chapter includes various facts that influences the security of ICN. Issues involved in naming, caching and routing are discussed separately, along with a few recent works in these areas. Various types of attacks in ICN are also part of the discussion.  

Researchers working in this field of Named Data Networks and Information Centric Networks or Content Centric Networks will find this book useful as a reference. The content of this book is also suitable for undergraduate and graduate-level students in computer science and electrical engineering as supporting study material.