Industrial IoT (eBook, PDF)

Challenges, Design Principles, Applications, and Security
Redaktion: Butun, Ismail

• Format: PDF

Produktbeschreibung

Proliferation of Internet of Things (IoT) enabled rapid enhancements for the applications not only in home and environment scenarios, but also in factory automation. Now, Industrial Internet of Things (IIoT) offers all the advantages of IoT to the industrial scenarios, applications ranging from remote sensing and actuating to de-centralization and autonomy.

In this book, the editor aims at presenting the IIoT and its place during the industrial revolution (Industry 4.0), while they are taking us to a better, sustainable, automated and safer world. The book covers the cross relations and implications of IIoT with existing wired/wireless communication/networking and safety technologies of the Industrial Networks. Moreover, practical use-case scenarios from the industry, for the application of IIoT on smart factories, smart cities and smart grid are presented. Especially, IoT-driven advances in commercial and industrial building lighting and in street lighting are presented as aspecific example to shed light on the application domain of IIoT.

The state of the art in Industrial Automation is also presented not only to give a better understanding of the enabling technologies, potential advantages and challenges of the Industry 4.0 and IIoT but also to foster interest on exploring this promising area.

Finally yet importantly, the security section of the book covers the cyber-security related needs of the IIoT users and the services that might address these needs. First, user privacy, data ownership, proprietary information handling related to IIoT networks are investigated. Then, the intrusion prevention, detection and mitigation part conclude the book.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 241
• Erscheinungstermin: 1. Juli 2020
• Englisch
• ISBN-13: 9783030425005
• Artikelnr.: 59808069

Autorenporträt

Ismail Butun (Ph.D.) received his B.Sc. and M.Sc. degrees in Electricaland Electronics Engineering from Hacettepe University. He received hissecond M.Sc. degree and Ph.D. degree in Electrical Engineering from theUniversity of South Florida in 2009 and 2013, respectively. He worked as anAssistant Professor in years between 2015 and 2017 at Bursa Technical Universityand Abdullah Gul University. From 2016 to 2019, he was employed as a post-doctoral researcher by the University of Delaware and Mid Sweden University,respectively. Since July 2019, he has been working as a post-doctoral fellow forNetwork and Systems Division, Department of Computer Science and Engineeringat Chalmers University of Technology. He has more than 36 publications ininternational peer-reviewed scientific journals and conference proceedings, alongwith an H-index of 12 and I-index of 14. Dr. Butun is a well-recognized academic reviewer by IEEE, ACM, and Springer,who served for 39 various scientific journals and conferences in the review processof more than 106 articles. He contributed as a track chair and session chair fornumerous international conferences and workshops, and performed as a technicalprogram committee (TPC) member for several international conferences organizedby IEEE, Springer, and ACM. His research interests include but not limited tocomputer networks, wireless communications, WSNs, IoT, IIoT, LPWAN, LoRa,cyber-physical systems, cryptography, network security, and intrusion detection.       

Inhaltsangabe

Dedication.- Foreword.- Preface.- Acknowledgement.- Part I: Preliminaries, Design Principles and Challenges.- Chapter 1: Industrial networks and IIoT: Now and future trends.-Chapter 2: Wireless Communication for the Industrial IoT.- Part II: Automation Trends and Applications.- Chapter 3:0 IoT-driven Advances in Commercial and Industrial Building Lighting and in Street Lighting.- Chapter 4: Automation Trends in Industrial Networks and IIoT.- Part III: Cyber Security.- Chapter 5: Security in Industrial IoT.- Chapter 6: Intrusion Detection in Industrial Networks via Data Streaming.- Index.