<abstract xmlns="http://www.w3.org/1999/xhtml"><p>We present a real-time hierarchical approach to an on-line risk assessment at the national level taking into account both local risk analyses performed by key service operators and relevant interdependencies between those services. For this purpose we define mutually agreed predicted service disruption profiles and then propose a coordination mechanism to align those profiles. A simple, four-entity example is provided to illustrate the coordination.</p></abstract>

We present a real-time hierarchical approach to an on-line risk assessment at the national level taking into account both local risk analyses performed by key service operators and relevant interdependencies between those services. For this purpose we define mutually agreed predicted service disruption profiles and then propose a coordination mechanism to align those profiles. A simple, four-entity example is provided to illustrate the coordination.

Real–Time Hierarchical Predictive Risk Assessment at the National Level: Mutually Agreed Predicted Service Disruption Profiles

International Journal of Applied Mathematics and Computer Science

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

We present a real-time hierarchical approach to an on-line risk assessment at the national level taking into account both local risk analyses performed by key...

Real–Time Hierarchical Predictive Risk Assessment at the National Level: Mutually Agreed Predicted Service Disruption Profiles

Online veröffentlicht: 29. Sept. 2020

Seitenbereich: 597 - 609

Eingereicht: 27. Dez. 2019

Akzeptiert: 05. Juni 2020

DOI: https://doi.org/10.34768/amcs-2020-0044

Schlüsselwörter
risk assessment, cyber security, hierarchical approach, service disruption profiles, coordination

© 2020 Krzysztof Malinowski et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Real–Time Hierarchical Predictive Risk Assessment at the National Level: Mutually Agreed Predicted Service Disruption Profiles

Online veröffentlicht: 29. Sept. 2020

Seitenbereich: 597 - 609

Eingereicht: 27. Dez. 2019

Akzeptiert: 05. Juni 2020

DOI: https://doi.org/10.34768/amcs-2020-0044

Schlüsselwörterrisk assessment, cyber security, hierarchical approach, service disruption profiles, coordination

© 2020 Krzysztof Malinowski et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
risk assessment, cyber security, hierarchical approach, service disruption profiles, coordination