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Data Fusion Framework for Cyber Vulnerability Assessment in Smart Grid
Högskolan i Skövde, Institutionen för informationsteknologi.ORCID iD: 0000-0003-4791-8452
Högskolan i Skövde, Institutionen för informationsteknologi.ORCID iD: 0000-0002-7312-9089
Högskolan i Skövde, Institutionen för informationsteknologi.ORCID iD: 0000-0002-8927-0968
2018 (English)Other (Other academic)
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Text
Abstract [en]

Smart grid adopts ICT to enhance power-delivery management. However, these advanced technologies also introduce an increasing amount of cyber threats. Cyber threats occur because of vulnerabilities throughout smart-grid layers. Each layer is distinguished by typical data flows. For example, power-data stream flows along the physical layer; command data are pushed to and pulled from sensor-control devices, such as RTUs and PLCs. Vulnerabilities expose these data flows to cyber threat via communication networks, such as local control network, vendor network, corporate network and the wider internet. Thus, these data could be used to analyse vulnerabilities against cyber threats. After data collection, data analysis and modelling techniques would be used for vulnerability assessment.

Place, publisher, year, pages
2018. , p. <p>A presentation was given to the SWITS'2018 which is combined with CySeP'2018 (https://cysep.conf.kth.se). </p>
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:bth-22658OAI: oai:DiVA.org:bth-22658DiVA, id: diva2:1640512
Available from: 2022-02-24 Created: 2022-02-24 Last updated: 2022-02-24Bibliographically approved

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https://cysep.conf.kth.se/2018/poster.html

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Ding, Jianguo

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Jiang, YuningAtif, YacineDing, Jianguo
Electrical Engineering, Electronic Engineering, Information Engineering

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  • apa
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Language
  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
  • rtf