UID:
almahu_9949226668602882
Umfang:
XI, 278 p. 101 illus., 76 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2022.
ISBN:
9783030854287
Serie:
Studies in Big Data, 95
Inhalt:
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. .
Anmerkung:
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.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783030854270
Weitere Ausg.:
Printed edition: ISBN 9783030854294
Weitere Ausg.:
Printed edition: ISBN 9783030854300
Sprache:
Englisch
DOI:
10.1007/978-3-030-85428-7
URL:
https://doi.org/10.1007/978-3-030-85428-7
URL:
Volltext
(URL des Erstveröffentlichers)
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