Overview
- Presents the latest discoveries in IoT and 5G security and methods for future cybersecurity applications
- Covers many important topics in technological advances related to transmitted data in 5G networks with IoT
- Highlights and discuss the techniques and security challenges of data processing in IoT and 5G networks
Part of the book series: Studies in Big Data (SBD, volume 95)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (11 chapters)
Keywords
About this book
This book presents state-of-the-art research on security and privacy- preserving for IoT and 5G networks and applications. The accepted book chapters covered many themes, including traceability and tamper detection in IoT enabled waste management networks, secure Healthcare IoT Systems, data transfer accomplished by trustworthy nodes in cognitive radio, DDoS Attack Detection in Vehicular Ad-hoc Network (VANET) for 5G Networks, Mobile Edge-Cloud Computing, biometric authentication systems for IoT applications, and many other applications
It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this particular area or those interested in grasping its diverse facets and exploring the latest advances on security and privacy- preserving for IoT and 5G networks.
Editors and Affiliations
Bibliographic Information
Book Title: Security and Privacy Preserving for IoT and 5G Networks
Book Subtitle: Techniques, Challenges, and New Directions
Editors: Ahmed A. Abd El-Latif, Bassem Abd-El-Atty, Salvador E. Venegas-Andraca, Wojciech Mazurczyk, Brij B. Gupta
Series Title: Studies in Big Data
DOI: https://doi.org/10.1007/978-3-030-85428-7
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-85427-0Published: 10 October 2021
Softcover ISBN: 978-3-030-85430-0Published: 10 October 2022
eBook ISBN: 978-3-030-85428-7Published: 09 October 2021
Series ISSN: 2197-6503
Series E-ISSN: 2197-6511
Edition Number: 1
Number of Pages: XI, 278
Number of Illustrations: 25 b/w illustrations, 76 illustrations in colour
Topics: Data Engineering, Cyber-physical systems, IoT, Computational Intelligence, Big Data