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@inproceedings{39069,
author = {Javorník, Michal and Komárková, Jana and Sadlek, Lukáš and Husák, Martin},
address = {Budapest, Hungary},
booktitle = {NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium},
doi = {http://dx.doi.org/10.1109/NOMS47738.2020.9110261},
keywords = {Cyber situational awareness;Decision support;Attack graph;Bayesian network;Mission resilience},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Budapest, Hungary},
isbn = {978-1-7281-4973-8},
pages = {1-6},
publisher = {IEEE},
title = {Decision Support for Mission-Centric Network Security Management},
url = {https://ieeexplore.ieee.org/document/9110261},
year = {2020}
}
TY - JOUR
ID - 39069
AU - Javorník, Michal - Komárková, Jana - Sadlek, Lukáš - Husák, Martin
PY - 2020
TI - Decision Support for Mission-Centric Network Security Management
PB - IEEE
CY - Budapest, Hungary
SN - 9781728149738
KW - Cyber situational awareness;Decision support;Attack graph;Bayesian network;Mission resilience
UR - https://ieeexplore.ieee.org/document/9110261
N2 - In this paper, we propose a decision support process that is designed to help network and security operators in understanding the complexity of a current security situation and decision making concerning ongoing cyber-attacks and threats. The process focuses on enterprise missions and uses a graph-based mission decomposition model that captures the missions, underlying hosts and services in the network, and functional and security requirements between them. Knowing the vulnerabilities and attacker’s position in the network, the process employs logical attack graphs and Bayesian network to infer the probability of the disruption of the confidentiality, integrity, and availability of the missions. Based on the probabilities of disruptions, the process suggests the most resilient mission configuration that would withstand the current security situation.
ER -
JAVORNÍK, Michal, Jana KOMÁRKOVÁ, Lukáš SADLEK a Martin HUSÁK. Decision Support for Mission-Centric Network Security Management. Online. In \textit{NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium}. Budapest, Hungary: IEEE, 2020, s.~1-6. ISBN~978-1-7281-4973-8. Dostupné z: https://dx.doi.org/10.1109/NOMS47738.2020.9110261.
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