Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
Security impact assessment of industrial automation systems using genetic algorithm and simulation
Aalto University, Department of Electrical Engineering and Automation, Aalto University, Espoo.
Department of Automation and Systems Technology, School of Electrical Engineering, Aalto University.
University of South Wales, Faculty of Computing, Engineering and Science (FCES), University of South Wales.
School of Mechanical, Industrial, & Manufacturing Engineering, Oregon State University.
Show others and affiliations
2014 (English)In: Proceedings of 2014 IEEE 19th International Conference on Emerging Technologies & Factory Automation (ETFA 2014): Barcelona, Spain, 16-19 Sept. 2014, Piscataway, NJ: IEEE Communications Society, 2014, p. 1-8, article id 7005094Conference paper, Published paper (Refereed)
Abstract [en]

Much of the research on security of industrial automation systems has focused on countermeasures such as intrusion detection, certificate management or public key infrastructures. Due to limited resources, countermeasures should be focused to prevent the attacks with highest potential for damage. The impact of an attack can only be determined through a detailed analysis of the interactions of the automation system and the physical system under control. Attacks against single components are similar to ordinary component failures, so our focus is on deliberate damage to several components, since such scenarios are not considered in reliability engineering methods used for industrial automation systems. A simulation based security impact assessment method is proposed, using genetic algorithms to explore the range of possible attacks

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2014. p. 1-8, article id 7005094
Series
IEEE Emerging Technology and Factory Automation (ETFA)
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-28035DOI: 10.1109/ETFA.2014.7005094ISI: 000360999100045Scopus ID: 2-s2.0-84983119751Local ID: 1af576f1-a3d9-4a5f-a2ad-6553d2f9a6bdISBN: 978-1-4799-4845-1 (print)OAI: oai:DiVA.org:ltu-28035DiVA, id: diva2:1001228
Conference
International Conference on Emerging Technologies & Factory Automation : 16/09/2014 - 19/09/2014
Note

Validerad; 2015; Nivå 1; 20150112 (valvya)

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Vyatkin, Valeriy

Search in DiVA

By author/editor
Vyatkin, Valeriy
By organisation
Computer Science
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 13 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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