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International Journal of Applied Mathematics and Computer Science
Volume 30 (2020): Numero 3 (September 2020)
Accesso libero
Real–Time Hierarchical Predictive Risk Assessment at the National Level: Mutually Agreed Predicted Service Disruption Profiles
Krzysztof Malinowski
Krzysztof Malinowski
e
Andrzej Karbowski
Andrzej Karbowski
| 29 set 2020
International Journal of Applied Mathematics and Computer Science
Volume 30 (2020): Numero 3 (September 2020)
Big Data and Signal Processing (Special section, pp. 399-473), Joanna Kołodziej, Sabri Pllana, Salvatore Vitabile (Eds.)
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Pubblicato online:
29 set 2020
Pagine:
597 - 609
Ricevuto:
27 dic 2019
Accettato:
05 giu 2020
DOI:
https://doi.org/10.34768/amcs-2020-0044
Parole chiave
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.
Krzysztof Malinowski
Centre for Research and Technology Transfer, Research and Academic Computer Network—State Research Institute (NASK PIB)
Warsaw, Poland
Andrzej Karbowski
Centre for Research and Technology Transfer, Research and Academic Computer Network—State Research Institute (NASK PIB)
Warsaw, Poland
Institute of Control and Computation Engineering Warsaw University of Technology
Warsaw, Poland