Smart Network Inspired Paradigm and Approaches in IoT Applications

This book gathers high-quality research articles and reviews that reflect the latest advances in the smart network-inspired paradigm and address current issues in IoT applications as well as other emerging areas.

Featuring work from both academic and industry researchers, the book provides a concise overview of the current state of the art and highlights some of the most promising and exciting new ideas and techniques. Accordingly, it offers a valuable resource for senior undergraduate and graduate students, researchers, policymakers, and IT professionals and providers working in areas that call for state-of-the-art networks and IoT applications.

1.  Interfaces, protocols and associated Smart Network Technology in IoT
2. Fast and complexity-awareness algorithms for real-time computing for network
   
3. Scientific computing and data management in smart applications
   
4.  Network-based big data management and analytics
   
5. Cyber threat intelligence and defense
   
6. Data-driven service management automation
   
7. Security and fault tolerance for embedded or ubiquitous systems
   
8. Sensor network security issues in mobile cloud computing
   
9. Ambient intelligence and intelligent service systems in IoT
   
10. Geo-processing, Localization and Location Based Services
    
11. Spatial data techniques and tools for analytics
    
12. Smart city services and applications platforms
    
13. Internet of Things for cross-thematic  applications
    
14. Automated and intelligent data processing methods
    
15. Smart city applications: mobility, energy, public administration & governance, economy, health, security and environment
    
16. Near Field Communication Technology and Applications
    
17. How to Integrate Sensors and the Internet of Things
    
18. Smart Networks and Intelligent Transportation
    
19. Energy Consumption in Smart Network Applications
    

Dr. Mohamed Elhoseny is currently an Assistant Professor at the Faculty of Computers and Information, Mansoura University, Egypt, where he is also Director of the Distributed Sensing and Intelligent Systems Lab. Dr. Elhoseny has authored or co-authored over 100 ISI journal articles, conference proceedings, book chapters, and several books published by Springer and Taylor& Francis. His research interests include Network Security, Cryptography, Machine Learning Techniques, and Intelligent Systems. Dr. Elhoseny serves as the Editor-in-Chief of the International Journal of Smart Sensor Technologies and Applications, and as an Associate Editor of several journals such as IEEE Access.

AMIT KUMAR SINGH received the bachelor’s degree and M.Tech. in computer science and engineering from Veer Bahadur Singh Purvanchal University, Jaunpur, India (2005) and Jaypee University of Information Technology, Waknaghat, India (2010), prior to completing his Ph.D. degree in computer engineering at the National Institute of Technology, Kurukshetra, India (2015). He worked at the Computer Science and Engineering Department, Jaypee University of Information Technology, from 2008 to 2018. He is currently an Assistant Professor at the Computer Science and Engineering Department, National Institute of Technology at Patna (An Institute of National Importance), Patna, India. Dr. Singh has authored over 80 peer-reviewed journal articles, conference publications, and book chapters, as well as the books Medical Image Watermarking: Techniques and Applications (2017), and Animal Biometrics: Techniques and Applications (2018, Springer International Publishing). He has also edited several books and currently serves on the Editorial Board of two peer-reviewed international journals. His research interests include Data Hiding, Biometrics, and Cryptography.