CRUSOE: Data Model for Cyber Situation Awareness
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F18%3A00106889" target="_blank" >RIV/00216224:14610/18:00106889 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1145/3230833.3232798" target="_blank" >http://dx.doi.org/10.1145/3230833.3232798</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3230833.3232798" target="_blank" >10.1145/3230833.3232798</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
CRUSOE: Data Model for Cyber Situation Awareness
Popis výsledku v původním jazyce
Attaining and keeping cyber situational awareness is crucial for the proper incident response, especially in critical infrastructures. Incident handlers need to process heterogeneous data, such as network topology and organisation's missions and objectives, to effectively mitigate the threats. The development of tools for attaining cyber situational awareness often faces the problem of effectively obtaining, correlating, and storing such heterogeneous data. In this paper, we present CRUSOE, an extensible layered data model for attaining and keeping information on cyber situational awareness. We conducted interviews with incident handlers from several security teams and evaluated existing requirements on cyber situational awareness to formalise the requirements on the proposed data model so that can be used in today's common network settings. The CRUSOE data model keeps track of missions, systems, networks, hosts, threats, detection and response capabilities, and access control in a network of an organisation. It is also designed to be filled primarily with the data that can be obtained in a semi- or fully-automated fashion in today's common network environments.
Název v anglickém jazyce
CRUSOE: Data Model for Cyber Situation Awareness
Popis výsledku anglicky
Attaining and keeping cyber situational awareness is crucial for the proper incident response, especially in critical infrastructures. Incident handlers need to process heterogeneous data, such as network topology and organisation's missions and objectives, to effectively mitigate the threats. The development of tools for attaining cyber situational awareness often faces the problem of effectively obtaining, correlating, and storing such heterogeneous data. In this paper, we present CRUSOE, an extensible layered data model for attaining and keeping information on cyber situational awareness. We conducted interviews with incident handlers from several security teams and evaluated existing requirements on cyber situational awareness to formalise the requirements on the proposed data model so that can be used in today's common network settings. The CRUSOE data model keeps track of missions, systems, networks, hosts, threats, detection and response capabilities, and access control in a network of an organisation. It is also designed to be filled primarily with the data that can be obtained in a semi- or fully-automated fashion in today's common network environments.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10200 - Computer and information sciences
Návaznosti výsledku
Projekt
<a href="/cs/project/VI20172020070" target="_blank" >VI20172020070: Výzkum nástrojů pro hodnocení kybernetické situace a podporu rozhodování CSIRT týmů při ochraně kritické infrastruktury</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings of the 13th International Conference on Availability, Reliability and Security
ISBN
9781450364485
ISSN
—
e-ISSN
—
Počet stran výsledku
10
Strana od-do
„36:1“-„36:10“
Název nakladatele
ACM
Místo vydání
Hamburg
Místo konání akce
Hamburg
Datum konání akce
27. 8. 2018
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000477981800072