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Security in IoT Social Networks - Intelligent Data-Centric Systems Fadi Al-Turjman
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Security in IoT Social Networks - Intelligent Data-Centric Systems
Fadi Al-Turjman
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.
266 pages, Approx. 100 illustrations; Illustrations, unspecified
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 30 de octubre de 2020 |
| ISBN13 | 9780128215999 |
| Editores | Elsevier Science Publishing Co Inc |
| Páginas | 266 |
| Dimensiones | 191 × 235 × 14 mm · 467 g |
| Lengua | Inglés |
| Editor | Al-Turjman, Fadi (Professor, Artificial Intelligence, Engineering Department, Near East University, Nicosia, Turkey) |
| Editor | Deebak, B.D. (Associate Professor, Department of Computational Intelligence, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India) |
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