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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Nitul Dutta is currently working as a Professor in the Computer Engineering department at Marwadi Unniversity, Rajkot, Gujarat. He received his B.E. degree in Computer Science and Engineering from Jorhat Engineering College, Assam (1995) and M. Tech. degree in Information Technology from Tezpur University Assam (2002). He completed his Ph.D. (Engineering) degree in the field of Computer Networking from Jadavpur University, West Bengal (2013). He also worked as a Post-Doctoral Fellow (PDF) at Jan Wyzykowski University, Polkowice, Poland, during the period 2017-2018. His current research interests are computer networks, mobility management in IPv6 based networks, cognitive radio and information centric networks. He has published four books in Springer book series and several journal papers in the area of computer networking. He is a senior member of IEEE and vice-chair of IEEE CIS Gujarat section.
Hiren Kumar Deva Sarma is currently Professor in the Department of Information Technology, Sikkim Manipal Institute of Technology, Sikkim. He received B.E. degree in Mechanical Engineering from Assam Engineering College in 1998. He completed Master of Technology in Information Technology from Tezpur University in 2000. He received Ph.D. degree from Jadavpur University (Department of Computer Science and Engineering) in 2013. He is a recipient of Young Scientist Award from the International Union of Radio Science (URSI) awarded in the XVIII General Assembly 2005, held at New Delhi, India. Dr. Sarma received IEEE Early Adopter Award in the year 2014. He has published more than seventy research papers in different International Journals, referred International and National Conferences of repute. His current research interests are wireless sensor networks, mobility management in IPv6 based network, cognitive radio networks, ICN, network security, robotics, distributed computing and big data analytics.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers a comprehensive study on Information Centric Networks as well as recent developments and future trends.Discusses security issues and optimization techniques.Presents machine learning algorithms for ICN management.Nitul Dut. N° de réf. du vendeur 668443288
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 204 pp. Englisch. N° de réf. du vendeur 9783030467388
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783030467388
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