Publications: See Fodok, opens an external URL in a new window

Start of project: 1. 6. 2020

End of project: 31. 5. 2023

Artificial Intelligence of Things (AIoT) is the natural evolution for both Artificial Intelligence (AI) and Internet of Things (IoT) because they are mutually beneficial. AI increases the value of the IoT through machine learning by transforming the data into useful information, while the IoT increases the value of AI through connectivity and data exchange. Therefore, InSecTT – Intelligent Secure Trustable Things, a pan-European effort with 54 key partners from 12 countries (EU and Turkey), will provide intelligent, secure and trustworthy systems for industrial applications to provide comprehensive cost-efficient solutions of intelligent, end-to-end secure, trustworthy connectivity and interoperability to bring the Internet of Things and Artificial Intelligence together. InSecTT aims at creating trust in AI-based intelligent systems and solutions as a major part of the AIoT.

The project features a big variety of industry-driven use cases embedded into various application domains where Europe is in a leading position, i.e. smart infrastructure, building, manufacturing, automotive, aeronautics, railway, urban public transport, maritime as well as health. The demonstration of InSecTT solutions in well-known real-world environments like airports, trains, ports, and the health sector will generate huge impact on both high and broad level, going from citizens up to European stakeholders. InSecTT will bring intelligent solutions into the market by conclusive showcases all over Europe, hence strengthening Europe’s industry and once more make European solutions a frontrunner in cutting-edge technology.

Our contribution to the InSecTT project is focussed on the following three topics

• Detection of anomalies in the operation of wireless sensor networks based on physical layer data like bit- and packet error rate, signal-to-noise ratio etc. and using methods from machine learning
• Wireless localization algorithms will be used to enhance the security  in wireless sensor networks, e.g. by making sure that only legitimate network nodes are allowed in a security-restricted area.
• Development of wireless sensor nodes which are able to communicate either via Bluetooth Low Energy or via ultra wideband (UWB) technology. UWB can also be used for wireless distance measurements. The nodes will be used to explore the possible gain in the reliability of the wireless communication due to the availability of two different communication technologies. Furthermore, we will use the nodes to verify our localization algorithms by measurements.

More details can be found here: https://www.insectt.eu/, opens an external URL in a new window