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Data Fusion Framework for Cyber Vulnerability Assessment in Smart Grid
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. University of Skövde, Department of Computer Science. (Distributed Real-Time Systems (DRTS))ORCID iD: 0000-0003-4791-8452
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Distributed Real Time System)ORCID iD: 0000-0002-7312-9089
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Distributed Real Time System)ORCID iD: 0000-0002-8927-0968
2018 (English)Other (Other academic)
Physical description [en]

A presentation was given to the SWITS'2018 which is combined with CySeP'2018 (https://cysep.conf.kth.se). 

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.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Distributed Real-Time Systems; INF303 Information Security
Identifiers
URN: urn:nbn:se:his:diva-16070OAI: oai:DiVA.org:his-16070DiVA, id: diva2:1241085
Available from: 2018-08-22 Created: 2018-08-22 Last updated: 2018-09-10Bibliographically approved

Open Access in DiVA

fulltext(867 kB)23 downloads
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File name FULLTEXT01.pdfFile size 867 kBChecksum SHA-512
107dc01121f3955d3b81ebf01cc4b067b0c6a496666f2d8975a1fcaffcbea860bb01d65f7bc96c03c5a1d9840081687105b2db5f25bda8cbb63f1eee9e777712
Type fulltextMimetype application/pdf

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

Authority records BETA

Jiang, YuningAtif, YacineDing, Jianguo

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Jiang, YuningAtif, YacineDing, Jianguo
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • Other locale
More languages
Output format
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