- This is a cutting-edge research project with a budget of more than €5 million and a duration of three years, involving Spanish, Finnish and German partners.
- The aim of the project is to create a Unique Cognitive Detection System for Cybersecure Operational Technologies.
- Project partners believe that it will have a crucial impact on the productivity of any industry by being able to make use of secure ICT chains.
Oulu, November 8, 2021 – The industrial sector is facing specific security challenges in a context in which data is becoming the main driver of companies and in which, increasingly, the number of threats and cyber-attacks is advancing faster and faster. In this context, the European IDUNN project has been launched with a duration of three years and a budget of €5,159,000, with the aim of researching and developing a cognitive detection system (artificial intelligence application that ‘learns’ on its own to interpret new attacks) to analyse and deal with new cyberthreats. This project has been funded under the European Commission’s Horizon 2020 program, Europe’s most competitive funding program for the development of new knowledge.
The project involves 10 European partners: Ikerlan -leading-, Grupo S21 Sec, GAIA Cluster and Fagor Arrasate (Basque Country), Mondragon Assembly, which will participate from its plant in France in the use tests; University of Oulu and Bittium (Finland); and the German organizations Offis EV, Din Deutsches Institut Fuernormun and Cosynth. Mondragon Goi Eskola Politeknikoa (Basque Country) and Bittium SafeMove (Finland) will act as linked third parties with specific tasks during the project.
IDUNN’s main objective is to provide a trusted solution to any industry by making their ICT systems resistant to cyber-attacks, developing solutions that meet their specific needs. To achieve this, the project will create a security shield in the form of tools, methodologies, microservices and initial standards compatible with any ICT supply chain. Thus, in the event of a possible incident, the IDUNN system will know how to act quickly to mitigate it and, in turn, will generate a cognitive learning process, which reduces human intervention and provides predictive capabilities.
The IDUNN project will develop a complete and integrated solution, modular and adaptable to different scenarios. To this end, over the next few years it will work on 3 specific use cases: automotive manufacturing, gas valve manufacturing and industrial IOT controllers (application of the Internet of Things in industry).
As project partners underline “only when ICT systems behave securely, digital trust will be achieved”.
In this sense, they underline that the deployment of IDUNN will increase trust in ICT “for both IT and OT (technologies applied to industry)”. It will also make it possible to:
– Reduce human effort to ensure cybersecurity operations.
– Increase response and recovery time.
– It will have a crucial impact on the productivity of any business that makes use of these secure ICT chains, “by ensuring that all technologies, services and tools are defined to guarantee business continuity, providing reasonably effective security and confidence for day-to-day operations.”
Project Website: https://www.idunnproject.eu/
PI (UOULU): Panos Kostakos
Researchers (UOULU): Febrian Setianto, Saeid Sheikhi
| This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101021911 |