Demonstration environments

Work Package 4

Demonstration environments

Illustration demonstration environmentsThe objective of this work package is to test and demonstrate the solutions developed within WP3 (and foundations from WP2) in laboratory and realistic environments at user partners (TRL 6) for validation and verification. We will also define demonstration cases and use cases for identifying the needs for joint research, development and innovation concepts to be developed in WP2 and WP3.

We will test and demonstrate the technologies from WP3 and models from WP2. The work will be split into tasks, each addressing a critical sector. This will give useful knowledge about which cybersecurity technologies and solutions will work for different applications and sectors. The feedback gained through tests will be used to improve the developed technologies (WP3) and models (WP2). The results from the demonstration and test activities will be the basis for finding the "best practice" for cybersecurity solutions. In addition to the horizontal technologies applicable to several sectors, these may need to be adapted and adjusted to the practicalities in the specific sectors.

The combination of testing and demonstration of the horizontal technologies, together with specific sector adjustments, will allow to make guidelines and recommendations for cybersecurity solutions in a variety of sectors. The first part of the activity in this WP will be to develop use cases describing the tests and demonstrators at the user partners within each task. The user partners are expected to provide needs and requirements, to participate actively in the research work and to engage with co-designing the final, customized solutions.


Tasks within Work Package 4

Tasks within Work Package 4

Objective: Demonstrate new cyber security technologies, applications, methods and models in the future cyber-physical electricity system.

  • Test developed models from WP2 for analysing dynamic interactions and interdependencies between the physical electricity system and 5G-based communication infrastructure used for monitoring and control.
  • Demonstrate the technologies developed in T3.4 for building cyber resilience in the electric system when electric vehicles are included through charging and as flexible resources.
  • Demonstrations of cyber-attacks and mitigation in cyber-physical electricity systems in the National Smart Grid Laboratory at NTNU/SINTEF lab in collaboration with the NTNU Cyber Range.
  • Live demonstration in the electricity system at industry partners of e.g., the use of secure design in the communication infrastructure or secure integration of electric vehicles as flexible resources.

Contact: Task Leader T4.1, Jørn Foros (jorn.foros@sintef.no)

Partners:

  • Helgeland Kraft
  • Inett
  • Elvia
  • NTNU
  • SINTEF

Objective: Deliver new models, tools, knowledge, input to handling cybersecurity in industry 4.0 production lines.

  • Improve the understandings of
    • distributed cyber-physical systems
    • how organizations in times of crisis
    • how to standardize work processes to minimize risk.
  • Demonstrate the possibilities in 5G.
  • Test different mechanisms to monitor and protect cyber-physical systems.
  • Utilize Master in Industrial Innovation and Digital Security through educational modules and master's theses. 

Resilient practice through sharing and learning.

Contact: Task Leader T4.2, Halvor Holtskog

 

Objective

1. Understanding the cybersecurity and privacy challenges facing a future healthcare system

2. Innovating the cybersecurity and privacy protection mechanisms to address the identified challenges, through a set of demonstrators. 

Tasks

  • Simulate and analyze the cybersecurity and privacy threats and attacks under real-life scenarios towards AI and robotics enabled distributed healthcare (e.g., homecare and chronic disease management)
  • Model and nudge security and privacy practices of healthcare staffs and patients
  • Construct a proactive security monitoring mechanism towards the concept Healthcare 4.0, through federated learning, adversarial machine learning, and other methods, towards solutions of
    • distributed and heterogeneous architectures
    • addressing the unreliability of local devices
  • Demonstrating the effectiveness and efficiency of the NORCICS generic cybersecurity framework and specific security and privacy mechanisms that are tailored for the distributed healthcare scenarios. 

Contact: Task Leader T4.3, Bian Yang

Partners:

  • Kongsberg
  • Norsk Regnesentral
  • Siemens
  • NC-Spectrum
  • Sykehuset Innlandet HF
  • NTNU
  • SINTEF

Objective: Create advanced situation awareness in real time with continous improvements to increase resilience, support semi-autonomous abnormality detection, and investigation in the cyber-physical infrastructure of Smart Districts

  • Utilise a digital twin of a smart district to enhance situational awareness on all areas including physical level, cyber-physical levels, cyber and surveillance levels, IoT and OSINT information
  • Support the public and private actors in finding balance and efficiency between the physical and digital space
  • Assist in improved analysis of smart district data available to the stakeholders in the district and their cooperation
  • Identify domain specific knowledge and research results from WP2 and WP3 needed to enable the use cases and demonstrations related to smart districts

Contact: Task Leader T4.4, Katrin Franke

Partners: 

  • NTNU
  • Universitetet i Agder
  • Oslo Politidistrikt

Affiliated partners:

  • BI Norwegian Business School
  • UNICRI - United Nations Interregional Crime and Justice Research INstitute
  • Øst Police District
  • Oslo Municipality Agency for Emergency Planning
  • Bane Nor
  • Nordic Edge
  • Red Rock
  • Dell
  • Hessen Polizei
  • Netherlands National Police Lab AI
  • The Norwegian Police University College
  • The Equality and Anti-Discrimination Ombud
  • South-Wales Police

 

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