JAVORNÍK, Michal, Jana KOMÁRKOVÁ, Lukáš SADLEK and Martin HUSÁK. Decision Support for Mission-Centric Network Security Management. Online. In NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium. Budapest, Hungary: IEEE, 2020, p. 1-6. ISBN 978-1-7281-4973-8. Available from: https://dx.doi.org/10.1109/NOMS47738.2020.9110261.
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Basic information
Original name Decision Support for Mission-Centric Network Security Management
Authors JAVORNÍK, Michal (203 Czech Republic, belonging to the institution), Jana KOMÁRKOVÁ (203 Czech Republic, belonging to the institution), Lukáš SADLEK (703 Slovakia, belonging to the institution) and Martin HUSÁK (203 Czech Republic, guarantor, belonging to the institution).
Edition Budapest, Hungary, NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium, p. 1-6, 6 pp. 2020.
Publisher IEEE
Other information
Original language English
Type of outcome Proceedings paper
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
RIV identification code RIV/00216224:14610/20:00114802
Organization Ústav výpočetní techniky – Repository – Repository
ISBN 978-1-7281-4973-8
ISSN 1542-1201
Doi http://dx.doi.org/10.1109/NOMS47738.2020.9110261
UT WoS 000716920500009
Keywords in English Cyber situational awareness;Decision support;Attack graph;Bayesian network;Mission resilience
Links VI20172020070, research and development project.
Changed by Changed by: RNDr. Daniel Jakubík, učo 139797. Changed: 31/3/2023 04:06.
Abstract
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.
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Address for the users outside IS
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Address within Manager for the users outside IS
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Uploaded/Created
Sat 15/8/2020 09:43

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Right to read
  • anyone on the Internet
Right to upload
 
Right to administer:
  • a concrete person Mgr. Lucie Vařechová, uco 106253
  • a concrete person RNDr. Daniel Jakubík, uco 139797
  • a concrete person Mgr. Jolana Surýnková, uco 220973
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