Information security practices for the Internet of Things, 5G, and next-generation wireless networks

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	Table	Card	RUSMARC

Title:	Advances in information security, privacy, and ethics (AISPE) book series. Information security practices for the Internet of Things, 5G, and next-generation wireless networks
Other creators:	Sahoo Biswa; Yadav Suman
Collection:	Электронные книги зарубежных издательств; Общая коллекция
Subjects:	Internet of things — Security measures.; 5G mobile communication systems — Security measures.; Internet des objets — Sécurité — Mesures.; Communications mobiles 5G — Sécurité — Mesures.; EBSCO eBooks
Document type:	Other
File type:	PDF
Language:	English
Rights:	Доступ по паролю из сети Интернет (чтение, печать, копирование)
Record key:	on1302332479

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Group: Anonymous

Network: Internet

Annotation

"This book highlights research on secure communication of 5G, Internet of Things (IoT) and Next-Generation wireless networks, along with related areas to ensure secure and Internet-compatible IoT systems"--.

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Cover
Title Page
Copyright Page
Book Series
Table of Contents
Detailed Table of Contents
Preface
Chapter 1: IoT-Enabled 5G Networks for Secure Communication
Chapter 2: 5th Generation Security Threats and Responses
Chapter 3: Machine Learning Algorithms for 6G Wireless Networks
Chapter 4: Security and Privacy Issues in the Internet of Things
Chapter 5: Role of Artificial Intelligence in Cyber Security
Chapter 6: Privacy and Security in Wireless Devices for the Internet of Things
Chapter 7: Application of Blockchain Technology in an IoT-Integrated Framework
Chapter 8: Cryptography and Blockchain Solutions for Security Protection of Internet of Things Applications
Chapter 9: Security Optimization of Resource-Constrained Internet of Healthcare Things (IoHT) Devices Using Lightweight Cryptography
Chapter 10: Edge Computing Enabled by 5G for Computing Offloading in the Industrial Internet of Things
Chapter 11: Quantum Communication Is the Next Level of Wireless Networking and Security
Chapter 12: Scheduling Optimization Based on Energy Prediction Using ARIMA Model in WSN
Compilation of References
About the Contributors
Index

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