LAŠTOVIČKA, Martin and Pavel ČELEDA. Situational Awareness: Detecting Critical Dependencies and Devices in a Network. In Daphne Tuncer, Robert Koch, Rémi Badonnel, Burkhard Stiller. AIMS 2017 - 11th IFIP WG 6.6 International Conference on Autonomous Infrastructure, Management, and Security. Zurich (Switzerland): Springer, 2017, p. 173-178. ISBN 978-3-319-60773-3. Available from: https://dx.doi.org/10.1007/978-3-319-60774-0_17.
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Basic information
Original name Situational Awareness: Detecting Critical Dependencies and Devices in a Network
Authors LAŠTOVIČKA, Martin (203 Czech Republic, guarantor, belonging to the institution) and Pavel ČELEDA (203 Czech Republic, belonging to the institution).
Edition Zurich (Switzerland), AIMS 2017 - 11th IFIP WG 6.6 International Conference on Autonomous Infrastructure, Management, and Security, p. 173-178, 6 pp. 2017.
Publisher Springer
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Switzerland
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW URL
Impact factor Impact factor: 0.402 in 2005
RIV identification code RIV/00216224:14610/17:00094476
Organization unit Institute of Computer Science
ISBN 978-3-319-60773-3
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-319-60774-0_17
Keywords (in Czech) situational awareness; cybersecurity; device importance evaluation; threat impact estimation; graph theory; network monitoring
Keywords in English situational awareness; cybersecurity; device importance evaluation; threat impact estimation; graph theory; network monitoring
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Alena Mokrá, učo 362754. Changed: 4/4/2018 15:45.
Abstract
Large-scale networks consisting of thousands of connected devices are like a living organism, constantly changing and evolving. It is very difficult for a human administrator to orient in such environment and to react to emerging security threats. With such motivation, this PhD proposal aims to find new methods for automatic identification of devices, the services they provide, their dependencies and importance. The main focus of the proposal is to find novel approaches to building cyber situational awareness in an unknown network for the purpose of computer security incident response. Our research is at the initial phase and will contribute to a PhD thesis in four years.
Links
VI20172020070, research and development projectName: Výzkum nástrojů pro hodnocení kybernetické situace a podporu rozhodování CSIRT týmů při ochraně kritické infrastruktury (Acronym: CRUSOE)
Investor: Ministry of the Interior of the CR, Research of Tools for Cyber Situational Awareness and Decision Support of CSIRT Teams in Protection of Critical Infrastructure
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