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Security and Privacy Preserving for IoT and 5G Networks : Techniques, Challenges, and New Directions / edited by Ahmed A. Abd El-Latif, Bassem Abd-El-Atty, Salvador E. Venegas-Andraca, Wojciech Mazurczyk, Brij B. Gupta

Material type: materialTypeLabelE-bookSeries: (Studies in Big Data, 2197-6511 ; 95).Publisher: Cham : Springer International Publishing, 2022Edition: 1st edition 2022.Description: 1 recurso en línea (XI, 278 páginas) : 101 ilustraciones, 76 ilustraciones a color.ISBN: 9783030854287.Subject: Internet de los objetosOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
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.
Summary: 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. .
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería TK5105.8857 2022 EB (Browse shelf(Opens below)) Acceso electrónico eBook.09012468
Total holds: 0

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.

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. .

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