Security in IoT Social Networks (Intelligent Data-Centric Systems) - Tapa blanda

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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).

De la contraportada

Security in IoT Social Networks takes a deep dive into various modes of security threats and related security risks with particular focus on real-world social and financial effects.

Analyzing and mining on 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, and designing and analyzing models for resolving such challenges. This book can help in the growth of new start-ups as well as research directions concerning security mechanisms and protocols for social information networks.

It also covers the topic of structural and analysis of large social information networks and elucidates the models and algorithms along with its fundamental properties. Moreover, this book includes smart solutions based on artificial intelligence, machine learning, and deep learning for enhancing the performance of the social information network security protocols and models.

This book is a detailed guide and reference material for academicians, professionals, and young researchers. The wide range of topics provides extensive information and data for future research and challenges in present-day social information networks.