"Semantically Modeling Cyber Influence Campaigns (CICs): Ontology Model and ..."

Nathan Johnson et al. (2021)

> Home

Details and statistics

DOI: 10.1109/ACCESS.2020.3048269

access: open

type: Journal Article

metadata version: 2021-06-22

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/access/JohnsonTMR21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/access/JohnsonTMR21
Nathan Johnson, Benjamin P. Turnbull, Thomas Maher, Martin Reisslein:
Semantically Modeling Cyber Influence Campaigns (CICs): Ontology Model and Case Studies. IEEE Access 9: 9365-9382 (2021)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.