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, i.e. moving AI to the edge and making AI and ML based systems trustable, explainable and not just a black box. InSecTT will foster cooperation between big industrial players from various domains, a number of highly innovative SMEs distributed all over Europa and cutting-edge research organisations and university. The project features a big variety of industry-driven use cases embedded into various application domains, 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 trains, ports, airports and the health sector will generate huge impact on both high and broad level, going from citizens up to European stakeholders. It will establish the EU as a center of intelligent, secure and trustworthy systems for industrial applications enabled by a strong industry with a strong reputation and an informed society, in order to enable products and services based on AI compliant to European values and “Made in Europe".
Project Website: https://insectt.eu
MDH Media posts
Developing and Evaluating MQTT Connectivity for an Industrial Controller (Jun 2023) Selma Opacin , Lejla Rizvanovic , Björn Leander, Aida Causevic, Saad Mubeen 11th International Conference on Cyber Physical Systems and IoT (CPS&IoT'23)
Anomaly Detection Dataset for Industrial Control Systems (Apr 2023) Alireza Dehlaghi Ghadim, Mahshid Helali Moghadam, Ali Balador, Hans Hansson
ICSSIM — A framework for building industrial control systems security testbeds (Mar 2023) Alireza Dehlaghi Ghadim, Ali Balador, Mahshid Helali Moghadam, Hans Hansson, Mauro Conti Computers in Industry (CompInd-Vol-123)
Access Control Enforcement Architectures for Dynamic Manufacturing Systems (Mar 2023) Björn Leander, Aida Causevic, Tomas Lindström , Hans Hansson 20TH IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ARCHITECTURE (ICSA 2023)
Simulation Environment for Modular Automation Systems (Oct 2022) Björn Leander, Tijana Markovic, Aida Causevic, Tomas Lindström , Hans Hansson, Sasikumar Punnekkat 48th Annual Conference of the Industrial Electronics Society (IECON 2022)
Anomaly Attack Detection in Wireless Networks Using DCNN (Oct 2022) Van-Lan Dao, Björn Leander IEEE 8th World Forum on Internet of Things (WFIoT2022)