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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
Persson, Felicia
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 credits
Student thesis
Place, publisher, year, edition, pages
2017. , p. 67
Keywords [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-65464
OAI: oai:DiVA.org:ltu-65464
DiVA, id:
diva2:1137983
Educational program
Information Security, master's level (120 credits)
Supervisors
Päivärinta, Tero, Professor
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering.
Examiners
Päivärinta, Tero, Professor
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering.
Available from:
2017-09-04
Created:
2017-09-03
Last updated:
2025-10-22
Bibliographically approved
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(2355 kB)
4347 downloads
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FULLTEXT01.pdf
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b32e8c399fc20061cb1806e8462a238b8fc333fa99ff07c66a1a034199db1a51ee04831e49be02defc690c905a1b521e27bead9b11704c46edf04fd49b1db159
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Persson, Felicia
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Direct link
https://ltu.diva-portal.org/smash/record.jsf?pid=diva2:1137983
Cite
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ieee
modern-language-association-8th-edition
vancouver
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apa
ieee
modern-language-association-8th-edition
vancouver
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en-GB
en-US
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nn-NO
nn-NB
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