Mission-centric Decision Support in Cybersecurity via Bayesian Privilege Attack Graph
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F22%3A00125824" target="_blank" >RIV/00216224:14610/22:00125824 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1002/eng2.12538" target="_blank" >https://doi.org/10.1002/eng2.12538</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/eng2.12538" target="_blank" >10.1002/eng2.12538</a>
Alternative languages
Result language
angličtina
Original language name
Mission-centric Decision Support in Cybersecurity via Bayesian Privilege Attack Graph
Original language description
We present an approach to decision support in cybersecurity with respect to cyber threats and stakeholders' requirements. We approach situations in which cybersecurity experts need to take actions to mitigate the risks, such as temporarily putting an IT system out of operation, but need to consult them with other stakeholders. We propose a decision support system that uses a mission decomposition model representing the organization's functional and security requirements on its IT infrastructure. Based on the cybersecurity state assessment, i.e., discovery of vulnerabilities and attacker's position, the decision support system calculates the resilience metrics for each IT infrastructure's configuration, i.e., how likely are they to not be disrupted. The calculation is enabled by two novel formal models, Privilege-Exploit Attack Graph and Bayesian Privilege Attack Graph, which reduce complex attack graphs into a comprehensible bipartite graph. Moreover, they illustrate the impact of exploiting the vulnerabilities and attackers gaining the privileges. The system recommends the most resilient mission configurations that are comprehensible to both cybersecurity experts and non-technical stakeholders, who may then choose which configuration to apply. Our approach is illustrated in a case study of a real-world medical information system.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
<a href="/en/project/EF16_019%2F0000822" target="_blank" >EF16_019/0000822: CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Engineering Reports
ISSN
2577-8196
e-ISSN
2577-8196
Volume of the periodical
4
Issue of the periodical within the volume
12
Country of publishing house
US - UNITED STATES
Number of pages
25
Pages from-to
„e12538“
UT code for WoS article
000808247600001
EID of the result in the Scopus database
2-s2.0-85143248057