東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Security and privacy preserving for ...

Abd El-Latif, Ahmed A.

Linked to FindBook

Google Book

Amazon

博客來

Security and privacy preserving for IoT and 5G networks = techniques, challenges, and new directions /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Security and privacy preserving for IoT and 5G networks/ edited by Ahmed A. Abd El-Latif ... [et al.].
Reminder of title:	techniques, challenges, and new directions /
other author:	Abd El-Latif, Ahmed A.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xi, 278 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Internet of things - Security measures. -
Online resource:	https://doi.org/10.1007/978-3-030-85428-7
ISBN:	9783030854287

Security and privacy preserving for IoT and 5G networks = techniques, challenges, and new directions /
Security and privacy preserving for IoT and 5G networkstechniques, challenges, and new directions /[electronic resource] :edited by Ahmed A. Abd El-Latif ... [et al.]. - Cham :Springer International Publishing :2022. - xi, 278 p. :ill., digital ;24 cm. - Studies in big data,v. 952197-6511 ;. - Studies in big data ;v. 95..

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.

ISBN: 9783030854287

Standard No.: 10.1007/978-3-030-85428-7doiSubjects--Topical Terms:

3217048
Internet of things
--Security measures.

LC Class. No.: TK5105.8857 / .S43 2022

Dewey Class. No.: 005.8

Security and privacy preserving for IoT and 5G networks = techniques, challenges, and new directions /
LDR:02514nmm a2200349 a 4500 001 2296246
003 DE-He213
005 20211009113100.0
006 m d
007 cr nn 008maaau
008 230324s2022 sz s 0 eng d
020 $a 9783030854287 $q (electronic bk.)
020 $a 9783030854270 $q (paper)
024 7 $a 10.1007/978-3-030-85428-7 $2 doi
035 $a 978-3-030-85428-7
040 $a GP $c GP
041 0 $a eng
050 4 $a TK5105.8857 $b .S43 2022
072 7 $a UN $2 bicssc
072 7 $a COM018000 $2 bisacsh
072 7 $a UN $2 thema
072 7 $a TB $2 thema
082 0 4 $a 005.8 $2 23
090 $a TK5105.8857 $b .S446 2022
245 1 0 $a Security and privacy preserving for IoT and 5G networks $h [electronic resource] : $b techniques, challenges, and new directions / $c edited by Ahmed A. Abd El-Latif ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xi, 278 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in big data, $x 2197-6511 ; $v v. 95
505 0 $a 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.
520 $a 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.
650 0 $a Internet of things $x Security measures. $3 3217048
650 0 $a 5G mobile communication systems $x Security measures. $3 3590305
650 1 4 $a Data Engineering. $3 3409361
650 2 4 $a Cyber-physical systems, IoT. $3 3386699
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Big Data. $3 3134868
700 1 $a Abd El-Latif, Ahmed A. $3 3590737
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Studies in big data ; $v v. 95. $3 3590738
856 4 0 $u https://doi.org/10.1007/978-3-030-85428-7
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)