This book aimed at bringing an insight to the ICN network, particularly
various architectures, issues and challenges in the new networking
paradigm. The book starts with an introduction to the new promising
concept of ICN and its origin along with the reason behind this
interesting innovation. Different architectures proposed so far in
support of implementing the ICN is also discussed in details. Few of the
challenges of ICN implementation are enlisted as caching, naming,
routing, and security. Each of these challenges with recent development
is covered in individual chapters. Moreover, integration of current
trends in communication and computing like software defined networking
and machine learning approach are another area that this book is
focusing. All these chapters highlight the recent developments reported
in the area and also discusses the future trends. The book provides an
overview of the recent developments in future internet technologies,
bringing together the advancements that have been made in ICN.
The 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 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 few recent works in these
areas. Various types of attacks in ICN are also part of the
discussion.
The stated book would be useful for researchers in this area and will
work as a reference for future work. Moreover, the content of the book
would also be suitable as a supporting material for undergraduate and
graduate level courses in computer science and electrical engineering.
