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PRECINCT: cyber-physical threats are no longer scary

Supervising and controlling complex interdependent networks: our research project at the service of European critical infrastructures.

Approach & Solution

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EU Critical Infrastructures (CIs) are increasingly at risk from cyber-physical attacks and natural hazards. The interrelationships between CIs has become more complex for example in smart cities and managing the impacts of cascading effects and enabling rapid recovery is becoming more pertinent and highly challenging.

The research project PRECINCT aims to connect private and public CI stakeholders in a geographical area to a common cyber-physical security management approach which will yield a protected territory for citizens and infrastructures, a ‘PRECINCT’ that can be replicated efficiently for a safer Europe.

The objective is to improve CI protection for specific installations from vulnerabilities arising from interdependencies and cascading effects.
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A PRECINCT Ecosystem Platform will connect stakeholders of interdependent CIs and Emergency Services to collaboratively manage security and resilience exploiting Digital Twins, Serious Games and AI technologies.

Increased automation and accuracy in security and resilience management will reduce costs and increase efficiency for CI management. The main societal benefits include enhanced physical security and safety levels, as well as data protection for personal and organisational information.

Engineering leads the technical coordination of the project, providing its expertise towards the PRECINCT Platform, Reference Framework and Digital Twin Instantiation.

The project has received co-funding from H2020-SU-INFRA-2020 the European Union's Horizon 2020 programme - Contract No. 101021668.


Creation of a collaborative infrastructure

Vulnerability assessment

Use of machine learning techniques by PRECINCT's Digital Twin

Creation of
AI-enabled ecosystems

Project value

Process performance
Cost cutting

Enabling Technologies

Digital Twin
AI & Advanced Analytics

Project Team

Research & Innovation