Security and Privacy Preserving for IoT and 5G Networks

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Geliefert zwischen Mo., 29.12.2025 und Di., 30.12.2025

Details

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.


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

Inhalt
Authentic QR codes for Traceability and Tamper Detection in IoT Enabled Waste Management Networks.- Data Security Challenges in Deep Neural Network for Healthcare IoT Systems.- Efficacious Data Transfer Accomplished by Trustworthy Nodes in Cognitive Radio.- A Multi-fusion IoT Authentication System Based on Internal Deep Fusion of ECG signals.- Overview of information hiding algorithms for ensuring security in IoT based cyber-physical systems.- Survey on Mobile Edge-Cloud Computing: A Taxonomy on Computation offloading Approaches.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783030854300
    • Genre Technology Encyclopedias
    • Auflage 1st edition 2022
    • Editor Ahmed A. Abd El-Latif, Bassem Abd-El-Atty, Brij B. Gupta, Wojciech Mazurczyk, Salvador E. Venegas-Andraca
    • Lesemotiv Verstehen
    • Anzahl Seiten 292
    • Herausgeber Springer International Publishing
    • Größe H235mm x B155mm x T16mm
    • Jahr 2022
    • EAN 9783030854300
    • Format Kartonierter Einband
    • ISBN 3030854302
    • Veröffentlichung 10.10.2022
    • Titel Security and Privacy Preserving for IoT and 5G Networks
    • Untertitel Techniques, Challenges, and New Directions
    • Gewicht 446g
    • Sprache Englisch

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