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Information security risk review and analysis for the future autonomous vehicle: Using GBM-OA to compare literature review findings with the Arrowhead framework
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2017. , p. 67
Keyword [en]
Autonomous vehicle, information security, theme-based literature review, Arrowhead Framework, GBM-OA, risk overview
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ltu:diva-65464OAI: oai:DiVA.org:ltu-65464DiVA, id: diva2:1137983
Educational program
Information Security, master's level (120 credits)
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Available from: 2017-09-04 Created: 2017-09-03 Last updated: 2018-01-13Bibliographically approved

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fulltext(2355 kB)241 downloads
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File name FULLTEXT01.pdfFile size 2355 kBChecksum SHA-512
b32e8c399fc20061cb1806e8462a238b8fc333fa99ff07c66a1a034199db1a51ee04831e49be02defc690c905a1b521e27bead9b11704c46edf04fd49b1db159
Type fulltextMimetype application/pdf

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Persson, Felicia
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CiteExportLink to record
Permanent link

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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
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
  • html
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  • asciidoc
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