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. Provides several characteristics of social, network, and physical security associated with social information networks Presents the security mechanisms and events related to social information networks Covers emerging topics, such as network information structures like on-line social networks, heterogeneous and homogeneous information networks, and modern information networksIncludes smart solutions based on artificial intelligence, machine learning, and deep learning for enhancing the performance of social information network security protocols and models INDICE: 1. Security Issues and Technical Challenges in IoT-enabled Social Networks2. Emerging Social IoT Applications and Security Assurance3. Optimized Security Models and deep learning for Social IoT Networks4. Key Agreement and Social IoT networks5. Biometrics and Authentication Methods in the IoT Era6. Forensic Analysis in Social IoT Applications7. Recommender IoT Systems - Security Threats and Mechanisms8. Enabling Cyber-Physical Technologies for Social IoT Networks9. Deception Detection for Fake Injections in IoT Networks10. Social Networking for medical and health care application
- ISBN: 978-0-12-821599-9
- Editorial: Academic Press
- Encuadernacion: Rústica
- Páginas: 320
- Fecha Publicación: 01/10/2020
- Nº Volúmenes: 1
- Idioma: Inglés