InSecTT: Intelligent Secure Trustable Things
Divisions:
Division of Intelligent Future Technologies
Division of Networked and Embedded Systems
Status:
Start date:
End date:
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
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)
Comparative Evaluation of Machine Learning Algorithms for Network Intrusion Detection and Attack Classification (Jul 2022) Miguel Leon Ortiz, Tijana Markovic, Sasikumar Punnekkat International Conference on Neural Network (IJCNN)
Feature encoding with autoencoder and differential evolution for network intrusion detection using machine learning (Jul 2022) Miguel Leon Ortiz, Tijana Markovic, Sasikumar Punnekkat Genetic and Evolutionary Computation Conference (GECCO 2022)
Random Forest Based on Federated Learning for Intrusion Detection (Jun 2022) Tijana Markovic, Miguel Leon Ortiz, David Buffoni , Sasikumar Punnekkat International Converence on Artificial Intelligence Applications and innovations (AIAI 2022)
