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Model-based Security Risk Analysis for Networked Embedded Systems
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering. (Real-time Systems Laboratory)
Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering. (Real-time Systems Laboratory)ORCID iD: 0000-0002-1485-0802
2016 (English)In: Critical Information Infrastructures Security: 9th International Conference, CRITIS 2014 Limassol, Cyprus, October 13–15, 2014 Revised Selected Papers / [ed] Panayiotou C., Ellinas G., Kyriakides E., Polycarpou M., Springer, 2016, p. 381-386Conference paper, Published paper (Refereed)
Abstract [en]

Finding a balance between functional and non-functional requirements and resources in embedded systems has always been a challenge. What brings this challenge into a sharper focus is that embedded devices are increasingly deployed in many networked applications, some of which will form the backbone of the critical information infrastructures on which we all depend. The Security-Enhanced Embedded system Development (SEED) process has proposed a set of tools that a bridge the two islands of expertise, the engineers specialised in embedded systems development and the security experts. This paper identifies a gap in the tool chain that links the identification of assets to be protected to the associated security risks seen from different stakeholder perspectives. The needed tool support for systematic prioritisation of identified assets, and the selection of security building blocks at design stage based on a risk picture of different stakeholders, are characterised. The ideas are illustrated in a smart metering infrastructure scenario.

Place, publisher, year, edition, pages
Springer, 2016. p. 381-386
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 8985
Keywords [en]
Embed System; Smart Grid; Stakeholder Perspective; Embed Device; National Regulatory Agency
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:liu:diva-112340DOI: 10.1007/978-3-319-31664-2_39ISBN: 978-3-319-31663-5 (print)ISBN: 978-3-319-31664-2 (electronic)OAI: oai:DiVA.org:liu-112340DiVA, id: diva2:1287523
Conference
9th International Conference, CRITIS 2014, Limassol, Cyprus, October 13-15, 2014
Available from: 2019-02-11 Created: 2019-02-11 Last updated: 2019-02-26Bibliographically approved

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Vasilevskaya, MariaNadjm-Tehrani, Simin

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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More styles
Language
  • de-DE
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  • sv-SE
  • Other locale
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Output format
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