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
Evaluation of an OPC UA-based Access Control Enforcement Architecture (Sep 2024) Björn Leander, Aida Causevic, Tomas Lindström , Hans Hansson 28th European Symposium on Research in Computer Security (ESORICS 2023)
Enhanced Simulation Environment to Support Research in Modular Manufacturing Systems (Oct 2023) Björn Leander, Tijana Markovic, Miguel Leon Ortiz 49th Conference of the IEEE Industrial Electronics Society 2023 (IECON 2023)
Dependability and Security aspects of Network-Centric Control (Sep 2023) Björn Leander, Bjarne Johansson, Tomas Lindström , Olof Holmgren , Thomas Nolte, Alessandro Papadopoulos 28th International Conference on Emerging Technologies and Factory Automation (ETFA 2023)
Federated Learning for Network Anomaly Detection in a Distributed Industrial Environment (Aug 2023) Alireza Dehlaghi Ghadim, Tijana Markovic, Per Erik Strandberg, David Söderman , Miguel Leon Ortiz
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