SC5GIoT: Secure Communication for 5G and IoT Networks |
Website | https://sites.google.com/view/5gandiot/home |
Submission link | https://easychair.org/conferences/?conf=sc5giot |
Abstract registration deadline | August 28, 2020 |
Submission deadline | November 30, 2020 |
This book series highlights state-of-the-art research on secure communication of 5G and the Internet of Things (IoT) Networks, along with related areas to ensure secure and Internet-compatible IoT systems. It does not only discuss 5G and IoT security and privacy challenges but also energy-efficient approaches to improve the ecosystems through communication. The book series addresses the secure communication and privacy of the 5G and IoT technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers, and professionals the latest techniques, frameworks, and strategies used in 5G and IoT technologies. The book includes intelligent solutions by utilizing the features of artificial intelligence and machine learning to improve the performance of the 5G and IoT security protocols and models. Most of the services will provide connectivity for everything from autonomous cars and UAVs to remote health monitoring through body-attached sensors, smart logistics through item tracking to remote diagnostics, and preventive maintenance of equipment.
Submission Guidelines
A proposal for book chapter is needed from prospective authors before the proposal submission due date, describing the objective, scope, and structure of the proposed chapter. Proposal (Extended abstract) need to be approximately 500 words with title and list of authors. Submit the Abstract in easychair. Authors of the accepted proposals will be notified by August 31, 2020 about the status of their proposals and sent chapter guidelines. Full chapters are then expected to be submitted by November 30, 2020 in easychair. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.
Website Link : https://sites.google.com/view/5gandiot/home
Full chapter preparation guidelines link :
Editor
Dr.S Velliangiri
Associate Professor, CSE
CMR Institute of Technology, Hyderabad, India
Email: velliangiris@gmail.com
Dr.M.Gunasekaran
Big Data Scientist,
University of California, Davis, USA
Email: gmanogaran@ucdavis.edu
Dr.P.Karthikeyan
Associate Professor & HoD-CSE,
Faculty of Engineering and Technology,
Parul Institute of Technology,
Parul University, Gujarat .
Contact
Email:nrmkarthi@gmail.com