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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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