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Oslo Analytics (completed)

About the project

The focus of the Oslo Analytics project at UiO is to develop models and practical solutions for cyber-threat intelligence. The project is organized in collaboration with mnemonic, NR, NSM, The Defense Intelligence College, The US Army Research Labs and TU Darmstadt.


Oslo Analytics develops advanced analytical methods based on big data analysis, machine learning and subjective logic to gain a deep situational awareness and understanding of cybersecurity threats and incidents. The project is actively involved in international standardization of formats and representation of cyber-threat intelligence.


The project is funded for 5 years by the IKTPLUSS program of the Norwegian Research Council during 2016 - 2020.


The project is managed by Prof. Audun Jøsang at the Informatics Department at UiO. Oslo analytics brings together complementary expertise from the partner institutions, and will involve multiple PhDs, PostDocs and Master's students.



View all works in Cristin

  • Lison, Pierre (2018). Data-driven models of reputation in cyber-security.
  • Lison, Pierre (2017). Neural Reputation Models learned from Passive DNS Data.
  • Mavroeidis, Vasileios (2021). Towards automated threat-informed cyberspace defense. Universitetet i Oslo. ISSN 1501-7710.

View all works in Cristin

Tags: USA
Published Dec. 22, 2015 12:15 PM - Last modified Nov. 5, 2021 8:42 AM