Security in IoT Social Networks (Paperback)

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.

General

Imprint:	Academic Press Inc
Country of origin:	United States
Series:	Intelligent Data-Centric Systems
Release date:	October 2020
First published:	2021
Editors:	Fadi Al-Turjman • B.D. Deebak
Dimensions:	235 x 191mm (L x W)
Format:	Paperback
Pages:	266
ISBN-13:	978-0-12-821599-9
Categories:	Books > Computing & IT > Computer communications & networking > Network security Books > Computing & IT > Internet > General Books > Computing & IT > Social & legal aspects of computing > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	0-12-821599-2
Barcode:	9780128215999

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