A platform offering web technologies and interoperable components is proposed, allowing integration of different technologies into a robust system. Key modules are provided in home, to support integration of IoT devices, and in the cloud, offering centralised services and storage. Communication between the two is performed using the open FIWARE-Orion protocol. Data are not tied to methods and resources, so the platform can handle multiple types of requests and data formats. The platform is deployed in HOLOBALANCE, a telerehabilitation system for balance disorders, providing surrogate holographic physiotherapists, real time evaluations of task performance and cloud-based data analytics for personalised coaching.

Next generation networks, as the Internet of Things (IoT), aim to create open and global networks for connecting smart objects, network elements, applications, web services and end-users. Research and industry attempt to integrate this evolving technology and the exponential growth of IoT by overcoming significant hurdles such as dynamicity, scalability, heterogeneity and end-to-end security and privacy. Motivated by the above, SEMIoTICS proposes the development of a pattern-driven framework, built upon existing IoT platforms, to enable and guarantee secure and dependable actuation and semi-autonomic behaviour in IoT/IIoT applications. Hence, in this paper, we describe the design of the SEMIoTICS architecture that addresses the aforementioned challenges. Specifically, the functional components of the proposed architecture are presented including also an overview of the appropriate realization mechanisms. Finally, we map two verticals in the areas of energy and health care and one horizontal in the areas of intelligent sensing use-cases scenarios to the suggested architecture in order to demonstrate its applicability to different IoT enabling platforms, types of smart objects, devices and networks.

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Digital technologies are facilitating our daily activities, and thus leading to the social transformation with the upcoming 5G communications and the Internet of Things. However, mainstream and sophisticated attacks are remaining a threat, both for individuals and organisations. Cyber Range emerges as a promising solution to effectively train people in cybersecurity aspects. A Training Programme is considered adequate only if it can adapt to the scope of the attacks they cover and if the trainees apply the learning material to the operational system. Therefore, this study introduces the model-driven CYber Range Assurance platform (CYRA). The solution allows a trainee to be trained for known and new cyber-attacks by adapting to the continuously evolving threat landscape and examines if the trainees transfer the acquired knowledge to the working environment. Furthermore, this paper presents a use case on an operational backend ICT system, showing how the CYRA platform was utilised to increase the security posture of the organisation.