JAVORNÍK, Michal, Jana KOMÁRKOVÁ and Martin HUSÁK. Decision Support for Mission-Centric Cyber Defence. Online. In Proceedings of the 14th International Conference on Availability, Reliability and Security (ARES 2019). New York: ACM, 2019, p. "34:1"-"34:8", 8 pp. ISBN 978-1-4503-7164-3. Available from: https://dx.doi.org/10.1145/3339252.3340522.
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Basic information
Original name Decision Support for Mission-Centric Cyber Defence
Authors JAVORNÍK, Michal (203 Czech Republic, belonging to the institution), Jana KOMÁRKOVÁ (203 Czech Republic, belonging to the institution) and Martin HUSÁK (203 Czech Republic, guarantor, belonging to the institution).
Edition New York, Proceedings of the 14th International Conference on Availability, Reliability and Security (ARES 2019), p. "34:1"-"34:8", 8 pp. 2019.
Publisher ACM
Other information
Original language English
Type of outcome Proceedings paper
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
RIV identification code RIV/00216224:14610/19:00108312
Organization Ústav výpočetní techniky – Repository – Repository
ISBN 978-1-4503-7164-3
Doi http://dx.doi.org/10.1145/3339252.3340522
UT WoS 000552726400034
Keywords in English Attack graph;Bayesian network;Cyber situational awareness;Decision support;Mission resilience
Links VI20172020070, research and development project.
Changed by Changed by: RNDr. Daniel Jakubík, učo 139797. Changed: 28/4/2021 01:58.
Abstract
In this paper, we propose a novel approach to enterprise mission modeling and mission-centric decision support for cybersecurity operations. The goal of the decision support analytical process is to suggest an effective response for an ongoing attack endangering established mission security requirements. First, we propose an enterprise mission decomposition model to represent the requirements of the missions' processes and components on their confidentiality, integrity, availability. The model is illustrated in a real-world scenario of a medical information system. Second, we propose an analytical process that calculates mission resilience metrics using the attack graphs and Bayesian network reasoning. The process is designed to help cybersecurity operations teams in understanding the complexity of a situation and decision making concerning requirements on enterprise missions.
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  • a concrete person Mgr. Jolana Surýnková, uco 220973
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