lnu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A Review of Intelligent Cybersecurity with Bayesian Networks
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).ORCID iD: 0000-0002-2833-7196
2019 (English)In: 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), IEEE, 2019, p. 445-452Conference paper, Published paper (Refereed)
Abstract [en]

Cybersecurity threats have surged in the past decades. Experts agree that conventional security measures will soon not be enough to stop the propagation of more sophisticated and harmful cyberattacks. Recently, there has been a growing interest in mastering the complexity of cybersecurity by adopting methods borrowed from Artificial Intelligence (AI) in order to support automation. In this paper, we provide a brief survey and some hints about Bayesian Network applications to intelligent cybersecurity in order to enable quantitative threat assessment for superior risk analysis and situation awareness.

Place, publisher, year, edition, pages
IEEE, 2019. p. 445-452
National Category
Computer Sciences
Research subject
Computer and Information Sciences Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-90355DOI: 10.1109/SMC.2019.8913864ISBN: 978-1-7281-4569-3 (electronic)ISBN: 978-1-7281-4570-9 (print)ISBN: 978-1-7281-4568-6 (print)OAI: oai:DiVA.org:lnu-90355DiVA, id: diva2:1374653
Conference
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), Bari, Italy, 6-9 Okt. 2019
Available from: 2019-12-02 Created: 2019-12-02 Last updated: 2019-12-19Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

Flammini, Francesco

Search in DiVA

By author/editor
Flammini, Francesco
By organisation
Department of computer science and media technology (CM)
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 20 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf