Demonstration environments

Work Package 4

Demonstration environments

Illustration demonstration environments The 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 us 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, participate actively in the research work, and engage with co-designing the final, customized solutions.

Tasks within Work Package 4

The operation of the electricity system is becoming more active and complex, due to for e.g. large scale introduction of renewable energy sources, flexible resources, and new loads such as electric vehicles. Active control means there is a need for more sensors, communication, automation, system integration, etc. This results in the electricity system becoming a complex system of interconnected digital and physical systems, where new threats and vulnerabilities can arise, and hence with increased demand on cyber security.

Objective:

The task aims to demonstrate cyber security technologies, methods and models in the future cyberphysical electricity system. Generic models/results from WP2 and WP3 will be tested in combination with domain specific competence and models, to improve the understanding and handling of cyber risks in current and future cyber-physical applications in electricity systems. This will include e.g. identification, prevention and mitigation of cyberattacks and testing and validation of models of interdependencies between the electricity system and ICT infrastructures such as new sensors, intelligent electronic devices (IEDs), communication technologies (5G networks, edge computing, etc) and virtualisation technologies - software defined networks (SDN), etc.

Contact:

Task Leader T4.1,Tesfaye Amare Zerihun;

Gerd Kjølle SINTEF Energi;

Tom Ivar Pedersen SINTEF Energi;

Santiago Sanchez Acevedo SINTEF Energi;

Maren Istad SINTEF Energi;

Arvind Sharma NTNU;

Thomas Zinner NTNU

James Wright NTNU;

Suneet Kumar Singh NTNU.

Ravishankar Borgaonkar SINTEF Digital;

Tor Olav Grøtan SINTEF Digital;

Arne Roar Nygård Elvia;

Sandeep Pirbhulal NR;

Svetlana Boudko NR.

Partners involved:

NTNU
SINTEF Energi
SINTEF Digital
Elvia
NR
Siemens

The fourth industrial revolution represents a shift in technology and thinking about value-adding processes. It includes several critical infrastructures, which is needed to make the different technology come together to create better products, more effective and efficient production processes. One critical infrastructure is the Health Care sector.

Objective:

Improving the understanding of formal models (from T2.2) for adversary placement and interaction in distributed cyber-physical systems.
Demonstrating the possibilities in 5G and the results from T3.2 in an industrial setting with multiple treats and multi-actor operations.
Testing different mechanisms to monitor and protect digital twin configurations of cyberphysical systems (background from T2.4).
Improving the understanding of how organizations and high-performance teams in times of crisis and how to standardize work processes to minimize risk (background from T2.4).
Integrating the different Labs; Cyber Range, ManuLab and MTMC
Develop modules for continuing education and training based on Master in Industrial Innovation and Digital Security (MIIDS)

Contact:

Task Leader T4.2, Halvor Holtskog;

Christina Marie Mitcheltree SINTEF Manufacturing.

Godfrey Mugurusi NTNU

Solveig Beyza Narli Evenstad NTNU

Partners involved:

NTNU
NCE Raufoss
MTMC
SINTEF Manufacturing

The future healthcare infrastructure is a critical infrastructure features with complexity brought by distributed and coordinated services delivery, resource constraint facing demographic stress, and various human factors, which require a new mind set and innovative solutions to cybersecurity.

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.

Contact:

Task Leader T4.3, Bian Yang

Svetlana Boudko NR;

Ingvar Tjøstheim NR;

Arnstein Vestad NTNU;

Ahmad Hassanpour NTNU.

Partners:

NTNU
Norsk Regnesentral
Siemens
NC-Spectrum
Kongsberg
Sykehuset Innlandet

Demand of improving intelligence operations regarding safety and security in complex cyber-physical systems such as smart districts, e.g. situational awareness in smart cities, or industry 4.0 environments. Need to “anticipate”, prevent, detect, and explain system abnormalities or malicious behaviors, and to design, implement, and evaluate methods for (semi-) automatic intelligence, aka human intelligence assisted by machine intelligence. Provide the right information at right time to the right person in the right context.

Objective:

Work towards COMPSTAT (short for COMPuter STATistics) as envisioned by NYPD (New York Police Department): Based on human knowledge and sensor data analytics to create advanced situational awareness in real time and with continuous improvements.

Elements to be addressed are: