R2D2 at the 3rd ECSCI Workshop on Critical Infrastructure Protection and Resilience
On April 29, 2025, R2D2 will take part in the 3rd ECSCI (European Cluster for Securing Critical Infrastructures) Workshop on Critical Infrastructure Protection and Resilience. This year’s edition will focus on advancing the conversation around integrated strategies to protect modern critical infrastructures (CI) from increasingly complex and coordinated cyber-physical threats.
R2D2 hosts the session “Reliability, Resilience and Defense Technology for the Grid,” led by Mathaios Panteli from the University of Cyprus, which explores innovative technologies and approaches to strengthen the resilience of energy systems.
As critical infrastructures become more interconnected and interdependent, spanning sectors like energy, water, healthcare, transportation, digital systems, finance, and public administration, their exposure to hybrid attacks has grown significantly. Traditional methods that treat cybersecurity and physical security as separate challenges are no longer sufficient. There is a growing need for integrated protection strategies that address the interactions and cascading effects of cyber-physical attacks.
The workshop will bring together leading projects from across the ECSCI cluster to share their findings and solutions. Discussions will cover:
- Integrated security modelling
- IoT and AI applications for infrastructure security
- Use of Distributed Ledger Technologies (DLTs) for secure information sharing
- Automation for threat detection and mitigation
The event will feature keynote speeches, project presentations, roundtable and panel discussions, and thematic sessions, providing a rich platform for cross-sector exchange. Attendees include scientists, security experts, CISOs, CIOs, CSIRTs, policy makers, and representatives from various critical infrastructure sectors.
By participating, R2D2 continues to contribute to shaping the future of secure and resilient infrastructures in Europe.
Register now here.


This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101075714.

