Описание: 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.
Автор: Al-Turjman, Fadi Название: Security In Iot Social Networks ISBN: 0128215992 ISBN-13(EAN): 9780128215999 Издательство: Elsevier Science Рейтинг: Цена: 17180.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Security in IoT Social Networks takes a deep dive into security threats and risks, focusing on real-world social and financial effects. Mining and analyzing enormously vast networks is a vital part of exploiting Big Data. This book provides insight into the technological aspects of modeling, searching, and mining for corresponding research issues, as well as designing and analyzing models for resolving such challenges. The book will help start-ups grow, providing research directions concerning security mechanisms and protocols for social information networks. The book covers structural analysis of large social information networks, elucidating models and algorithms and their fundamental properties.
Moreover, this book includes smart solutions based on artificial intelligence, machine learning, and deep learning for enhancing the performance of social information network security protocols and models. This book is a detailed reference for academicians, professionals, and young researchers. The wide range of topics provides extensive information and data for future research challenges in present-day social information networks.
Автор: Gupta, Govind P. Название: Big Data Analytics in Fog-Enabled IoT Networks ISBN: 1032206446 ISBN-13(EAN): 9781032206448 Издательство: Taylor&Francis Рейтинг: Цена: 16843.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: S. Kami Makki; Peter Reiher; Kia Makki; Niki Pissi Название: Mobile and Wireless Network Security and Privacy ISBN: 0387710574 ISBN-13(EAN): 9780387710570 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book brings together a number of papers that represent seminal contributions underlying mobile and wireless network security and privacy. The diverse topics and protocols described in this book give the reader a good idea of the current state-of-the-art technologies in mobile and wireless network security and privacy.
Автор: Raheem Beyah; Bing Chang; Yingjiu Li; Sencun Zhu Название: Security and Privacy in Communication Networks ISBN: 3030017036 ISBN-13(EAN): 9783030017033 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This two-volume set LNICST 254-255 constitutes the post-conference proceedings of the 14thInternational Conference on Security and Privacy in Communication Networks, SecureComm 2018, held in Singapore in August 2018. The 33 full and 18 short papers were carefully reviewed and selected from 108 submissions. The papers are organized in topical sections on IoT security, user and data privacy, mobile security, wireless security, software security, cloud security, social network and enterprise security, network security, applied cryptography, and web security.
Автор: Saxena Название: Internet of Things ISBN: 9811915849 ISBN-13(EAN): 9789811915840 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers major areas of device and data security and privacy related to the Internet of Things (IoT). It also provides an overview of light-weight protocols and cryptographic mechanisms to achieve security and privacy in IoT applications. Besides, the book also discusses intrusion detection and firewall mechanisms for IoT. The book also covers topics related to embedded security mechanisms and presents suitable malware detection techniques for IoT. The book also contains a unique presentation on heterogeneous device and data management in IoT applications and showcases the major communication-level attacks and defense mechanisms related to IoT.
Автор: Meng, Weizhi Название: Protecting Mobile Networks and Devices ISBN: 0367658313 ISBN-13(EAN): 9780367658311 Издательство: Taylor&Francis Рейтинг: Цена: 6889.00 р. Наличие на складе: Нет в наличии.
Автор: Fortino Название: Interoperability, Safety and Security in IoT ISBN: 3319937960 ISBN-13(EAN): 9783319937960 Издательство: Springer Рейтинг: Цена: 5870.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed post-conference proceedings of the Third International Conference on Interoperability, InterIoT 2017, which was collocated with SaSeIoT 2017, and took place in Valencia, Spain, in November 2017.
Автор: Abbas Jamalipour; Ying Bi Название: Wireless Powered Communication Networks ISBN: 3319981730 ISBN-13(EAN): 9783319981734 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook introduces Wireless Powered Communication Networks (WPCNs) as a promising paradigm to overcome the energy bottleneck suffered by traditional wireless communication networks, as well as emerging Internet-of-Things networks. It selectively spans a coherent spectrum of fundamental aspects in WPCNs, such as wireless energy transfer (WEH) techniques, radio frequency (RF) energy harvesting receiver model, simultaneous wireless information and power transfer (SWIPT), as well as the rate-energy tradeoff arising from the joint transmission of information and energy using the same waveform. It covers network models for WPCNs, including the baseline and dual-hop WPCN models and a variety of related extensions. This book further examines the key factors including throughput, fairness, and security that must be taken into account for impeccable operation of WPCNs. The new IoT applications are targeted as a key element in those factors. It will also include exercises and examples throughout the book, as well as their PLS solutions.This is the first textbook examining the current research to provide a unified view of wireless power transfer (WPT) and information transmission in WPCNs from a physical layer security (PLS) perspective. Focused on designing efficient secure transmission schemes, analyzing energy evolvement process, and evaluating secrecy outage performance under different channel state information (CSI), the results presented in this book shed light on how to best balance security and throughput with prudent use of harvested energy in WCNs. It also provides an overview of the WPCNs by introducing the background of WPT, followed by a summary of the research conducted in the field. The authors describe the physical-layer security (PLS) problem in WPCNs, including the causes and the impacts of the problem on the performance of WPCNs. The authors extend the discussions by introducing the applications of WPCNs in the IoT.From the Internet of Things (IoT) point of view, this textbook reviews the opportunities and challenges for the lately-emerged WPCN to seamlessly integrate into the IoT ecosystem. It specifically addresses the maximization problem of uplink and downlink sum-throughout in a dual-hop WPCN, while taking fairness among WPCN users as a constraint. The results provided in this book reveal valuable insights into improving the design and deployment of future WPCNs in the upcoming IoT environment.This textbook targets advanced-level students studying wireless communications and research engineers working in this field. Industry engineers in mobile device and network development business with an interest in WPCNs and IoT, as well as their PLS solutions, will also find this book useful.
Описание: Analysis of Sentiment Tendency of Tourists' Comments Based on Text Mining.- Analysis of Smart City Construction Based on 5G Data Technology.- Prediction of Stock Price Based on Artificial Intelligence Algorithm.- Variation Translation Strategy System of Intangible Cultural Heritage Based on Data Mining.- A Computer-aided Comparative Study on Grammatical Cohesion in Abstracts of Sci-tech Journal Papers by Chinese and American Scholars.- Computer Graphics and Image Software in Advertising Design.- Design and Research of Production Information Management System for Project Based Mechanical Manufacturing Enterprises.- Impact of Computer Network Technology on Regional Economic Development.- Chaos Algorithm of Electrical Control System Based on Neural Network Technology.- Pulse Signal Acquisition System Based on Match Pursuit Algorithm.- Data Analysis of Power System Engineering Construction Based on PPSO Algorithm.- Reactive Optimization of Power System Based on K-means Algorithm.- Design and Structure Analysis of Manipulator based on Acceleration Sensor.- Discussion on Decision Tree Algorithm in University Teaching Management System.
Автор: Makkar Aaisha, Kumar Neeraj Название: Deep Learning for Security and Privacy Preservation in IoT ISBN: 9811661855 ISBN-13(EAN): 9789811661853 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses the issues with privacy and security in Internet of things (IoT) networks which are susceptible to cyber-attacks and proposes deep learning-based approaches using artificial neural networks models to achieve a safer and more secured IoT environment.
Автор: Abdel-Basset Название: Deep Learning Techniques for IoT Security and Privacy ISBN: 3030890279 ISBN-13(EAN): 9783030890278 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book states that the major aim audience are people who have some familiarity with Internet of things (IoT) but interested to get a comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT. A reader should be friendly with Python and the basics of machine learning and deep learning. Interpretation of statistics and probability theory will be a plus but is not certainly vital for identifying most of the book's material.
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