000			02292nam a22002897a 4500
003			OSt
005			20230622204104.0
008			230622b |||||||| |||| 00| 0 eng d
020			_a9783030854270
040			_c0
082			_a005.8 ABD
092			_20
100			_aAbd El-Latif, Ahmed A
245			_aSecurity and privacy preserving for IoT and 5G networks : _btechniques, challenges, and new directions _cAhmed A. Abd El-Latif (Editor), Bassem Abd-El-Atty (Editor), Salvador Elías Venegas-Andraca (Editor), Wojciech Mazurczyk (Editor), Brij Gupta (Editor)
260			_aCham _bSpringer _c2022
300			_a278 pages _c30 cm
490			_aStudies in big data _v95
505			_aAuthentic 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
520			_aThis 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.
650			_aEngineering _xData processing
650			_aEmbedded computer systems
650			_aBig data
650			_aComputational intelligence
843			_aPhotocopy
887			_2CamTech Library
942			_2ddc _cBK _n0
999			_c1185 _d1185