Session Chairs: Session Co-Chair Prof. Dr. Abbas Mohsin Al-Bakry University of Information Technology and Communications, Iraq Dr. Inaam Rekan Hassan University of Information Technology and Communications, Iraq

Synopsis

Internet of Things (IoT) are systems of billions of smart devices interconnected over a network and in many cases are cloud-managed. IoT is gaining wide attention from both academia and industry and can offer transformative solutions to serious difficulties were faced before the advancement of IoT, climate change, surveillance, healthcare, resource management, and other daily challenges. A typical lifecycle of an IoT application starts from data generation, data-streaming to the cloud for storage and analysis units, ending by data visualization and feedback collection. Many challenges can be addressed in each phase of IoT management life cycle. Example of such challenges are: the heterogeneous nature of IoT device-formation and interrelated surroundings, the remote untrustworthy operational environment, vast amount of real-time information-rich data fusion, streaming and analytics, context-aware intelligence, pervasive privacy-sensitive sensing and actuating capabilities, and tackling security weaknesses and threats.

The main aim of this special session is to bring together academic researchers and industry practitioners working towards solutions to address the aforementioned challenges of IoT Technologies. It is expected that the exchanged ideas on recent research and future directions opens the way for collaborative investigations towards new discoveries and extensive enhancement of the cutting edge technologies. Therefore, we accept research, industrial, and vision papers.

This special session welcomes papers on the topics which include (but are not limited to) the following:

• IoT system design methodologies;
• Big data processing in IoT systems;
• Software defined infrastructures for end-to-end IoT systems;
• Data processing latency and real-time IoT applications and testbeds;
• IoT communication platforms and access technologies;
• Theoretical modeling and frameworks for IoT environments;
• IoT infrastructure security;
• Cloud infrastructure to support IoT;
• Machine learning for IoT data forensics.