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Identifying high risk targets in a corporate multi-user network
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
2018 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2018.
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:bth-16721OAI: oai:DiVA.org:bth-16721DiVA, id: diva2:1230464
External cooperation
Outpost24
Subject / course
Degree Project in Master of Science in Engineering 30.0
Educational program
DVACD Master of Science in Computer Security
Supervisors
Examiners
Available from: 2018-07-04 Created: 2018-07-03 Last updated: 2018-07-04Bibliographically approved

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fulltext(619 kB)18 downloads
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File name FULLTEXT02.pdfFile size 619 kBChecksum SHA-512
c16a7959e2db71c5ab06944dd7bb51dc7c1f75ea09598dda6b6809504850f325987266beb0551206d5a69cb6a74046b88b7876438d61eda82a345468add105e6
Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
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Output format
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