The aim of this project is to investigate the efficient and secure (privacy-aware) management of IoT-Fog-Cloud systems by performing fundamental research in the area of Fog and Cloud computing and the Internet of Things (IoT). This research plans to contribute to the proliferation of IoT with the help of fog and cloud technologies by enabling experimenting with complex IoT systems consisting of interdependent components that work together to enable the creation and management of user applications. To reach these aims we will model the behavior of IoT devices, sensors and applications, and make these models available in simulated environments for analysis. IoT-Fog-Cloud systems inherently have capabilities that need to be secured with legal compliance and privacy-by-design planning, since sharing and combining data through fogs and clouds will increase locations and jurisdictions, where personal data resides.
The main goals of our project are the followings:

• to gather, classify and make available real-world sensor datasets for investigating IoT applications and systems in simulated environments
• to model the behavior of IoT devices and sensors in various application fields
• to demonstrate the wide applicability of these device models by realising, analysing and using them in different simulation environments for IoT-Fog-Cloud systems
• to develop algorithms for analyzing the efficiency and privacy of sensor data processing, aggregation and storage with smart, fuzzy-based selection of fog and cloud gateway services.

The project is supported by the Hungarian Scientific Research Fund (OTKA FK 131793)
Duration: 2019.12.01-2022.11.31. (3 years)