Security in IoT Social Networks

Häftad, Engelska, 2020

Av Fadi Al-Turjman, B.D. Deebak, Turkey) Al-Turjman, Fadi (Data Analytics, and Software Engineering Departments, AI and IoT research center, AI and Informatics Faculty, Near East University, Mersin 10, India) Deebak, B.D. (Associate Professor, Department of Computational Intelligence, School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, B. D. Deebak

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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 networks
Includes smart solutions based on artificial intelligence, machine learning, and deep learning for enhancing the performance of social information network security protocols and models

Produktinformation

Utgivningsdatum2020-10-23
Mått191 x 235 x undefined mm
Vikt610 g
FormatHäftad
SpråkEngelska
SerieIntelligent Data-Centric Systems
Antal sidor266
FörlagElsevier Science
ISBN9780128215999

Tillhör följande kategorier

Digital livsstil och datorspel inom Data och it
Artificiell intelligens inom Data och it
Nätverk och kommunikation inom Data och it

Prof. Dr. Fadi Al-Turjman received his Ph.D. in computer science from Queen’s University, Canada, in 2011. He is the “advisor to the chairman of the board of trustees on AI and informatics at Near East University (NEU), Turkey, and the founding dean for AI and Informatics faculty in the same university. Prof. Al-Turjman is the head of Software Engineering Department, and the founding director for the AI and Robotics Institute and the International Research Center for AI and IoT at NEU. He has been awarded the lifetime golden-award of Dr. Suat Gunsel from Near East University for the year 2022, in addition to several other recognitions and best research awards at key international venues. Prof. Al-Turjman is a leading authority in the areas of smart/intelligent IoT systems, wireless, and mobile networks’ architectures, protocols, deployments, and performance evaluation in Artificial Intelligence of Things (AIoT). His publication history spans over 650 SCI/E publications, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 100 books about AI, cognition, security, and wireless sensor networks’ deployments in smart IoT environments, which have been published by well-reputed publishers such as IEEE, Taylor and Francis, Elsevier, IET, and Springer. Prof. Al-Turjman is leading a number of international conferences and workshops in flagship AI and IoT societies. Currently, he serves as a book series editor with distinguished publishers, and the lead guest/associate editor for several top tier journals, including the IEEE Communications Surveys and Tutorials (IF 23.9) and the Elsevier Sustainable Cities and Society (IF 10.8).B.D. Deebak is an associate professor in the Department of Computational Intelligence, School of Computer Science and Engineering at Vellore Institute of Technology, Vellore, India. Previously, he was at GMR Institute of Technology, Rajam as an associate professor in the Department of Computer Science and Engineering and before that in Middle East Technical University (METU) Northern Cyprus Campus. He has more than 12 years of teaching experience and research in various engineering institutions. His areas of research include multimedia networks, network security, and machine learning.

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. Recommended 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