Dalarna University's logo and link to the university's website

du.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Exploring Cyber Threat Intelligence-led red-teaming: A preliminary for implementation comparing frameworks, taxonomies and services with solution proposal
Dalarna University, School of Technology and Business Studies, Microdata Analysis.
Dalarna University, School of Technology and Business Studies, Microdata Analysis.
2020 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

As the development of hardware, the standardisation of threat data formats and the availability of high-quality free data streams proceeds it enables organisations to manage more substantial quantities of threat data. Making intelligent use of this data is complex and platforms which offers threat data management platforms are often expensive. This study aims to explore tools, frameworks and taxonomies which can aid an organisation looking to implement a threat intelligence platform of their own. Available open source frameworks, tools and data sources are compared and analysed. By using the design and creation research methodology, a conceptualised system is designed and proposed. The study is of use for anyone looking to gain a fundamental understanding of the currently available tools, frameworks and taxonomies relevant to the field of threat intelligence.

Place, publisher, year, edition, pages
2020.
Keywords [en]
Cyber Threat Intelligence, Targeted Threat Intelligence, Frameworks, Taxonomies, Red-teaming, Penetration Testing
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:du-35125OAI: oai:DiVA.org:du-35125DiVA, id: diva2:1472868
Available from: 2020-10-03 Created: 2020-10-03

Open Access in DiVA

No full text in DiVA

By organisation
Microdata Analysis
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 617 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf