Abd El-Latif, Ahmed A <br/><br/>
Security and privacy preserving for IoT and 5G networks :   techniques, challenges, and new directions 
Ahmed A. Abd El-Latif (Editor), Bassem Abd-El-Atty (Editor), Salvador Elías Venegas-Andraca (Editor), Wojciech Mazurczyk (Editor), Brij Gupta (Editor) 
 - Cham  Springer  2022 
 - 278 pages   30 cm  
 - Studies in big data   95 .
<br/><br/>Authentic QR codes for Traceability and Tamper Detection in IoT Enabled Waste Management Networks<br/>Data Security Challenges in Deep Neural Network for Healthcare IoT Systems<br/>Efficacious Data Transfer Accomplished by Trustworthy Nodes in Cognitive Radio<br/>A Multi-fusion IoT Authentication System Based on Internal Deep Fusion of ECG signals<br/>Overview of information hiding algorithms for ensuring security in IoT based cyber-physical systems<br/>Survey on Mobile Edge-Cloud Computing: A Taxonomy on Computation offloading Approaches 
<br/><br/> 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.<br/> 
<br/><br/><label>ISBN: </label>9783030854270 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Engineering--Data processing<br/>Embedded computer systems<br/>Big data<br/>Computational intelligence
<br/><br/><label>Dewey Class. No.: </label>005.8 ABD