Funding Organization: European Commission
Funding Programme: Horizon H2020
Funding Instrument: Innovation Action
Start Date:
Duration: 24 months
Total Budget: 10,137,673.75 EUR
ITI Budget: 399,375.00 EUR

InfraStress addresses cyber-physical (C/P) security of Sensitive Industrial Plants and Sites (SIPS) Critical Infrastructures (CI) and improves resilience and protection capabilities of SIPS exposed to large scale, combined, C/P threats and hazards, and guarantee continuity of operations, while minimizing cascading effects in the infrastructure itself, the environment, other CIs, and citizens in vicinity, at reasonable cost. In fact, InfraStress will develop TRL4+ solutions from preceding research and innovation towards TRL7 level producing maximum adoption of the proposed methods and solutions. Addressing the current fragmentation of available security solutions and technology, InfraStress will provide an integrated framework including cyber and physical threat detection, integrated C/P Situational Awareness, Threat Intelligence, and an innovative methodology for resilience assessment – all tailored to each site.

InfraStress adopts a user-driven approach carried out through: a) delivery of usable and user-friendly Services and
Applications for C/P protection and resilience; b) technical activities driven by and receiving active input from end users, i.e. SIPS and relevant stakeholders; c) a comprehensive set of 5 real-world Pilots and Evaluation activities to be carried out by User partners.

InfraStress matches key impacts not only in response to the Work Programme Call but also at Strategic, Socio-economic and Market levels. In fact InfraStress was conceived since the beginning with a strong business vision in mind and will carry out effective exploitation actions ensureing successful go-to-market. Tailored activities are also planned to rise a a culture of participatory security to involve all stakeholders including companies, workers, public authorities, citizens and civil society. InfraStress involves 27 partners of excellence from 11 countries with very cross-cutting and complementary competences and excellent track records, including 5 SIPS operators.

  1. P. Stalidis, T. Semertzidis, P. Daras, "Examining Deep Learning Architectures for Crime Classification and Prediction" , Forecasting, 3(4), pp. 741-762, 2021. DOI:
  2. E. Kafali, T. Semertzidis, P. Daras, "Delayed Adversarial Training with Non-Sequential Adversarial Epochs" , in IEEE International Conference on Tools with Artificial Intelligence, November 1-3, 2021.
  3. E. Kafali, K. Zafirouli, K. Karageorgos, T. Semertzidis, P. Daras, "Cyber-physical Adversarial Attacks and Countermeasures for Deep Learning Vision Systems on Critical Infrastructures" , Cyber-Physical Threat Intelligence for Critical Infrastructures Security: Securing Critical Infrastructures in Air Transport, Water, Gas, Healthcare, Finance and Industry, edited by J. Soldatos, I. Praca, A. Jovanovic, Boston-Delft: now publishers, 2021. DOI:
Dr. Petros Daras
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Visual Computing Lab

The focus of the Visual Computing Laboratory is to develop new algorithms and architectures for applications in the areas of 3D processing, image/video processing, computer vision, pattern recognition, bioinformatics and medical imaging.

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Contact Information

Dr. Petros Daras, Research Director
6th km Charilaou – Thermi Rd, 57001, Thessaloniki, Greece
P.O.Box: 60361
Tel.: +30 2310 464160 (ext. 156)
Fax: +30 2310 464164
Email: daras(at)iti(dot)gr