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Operable Subjective Logic Analysis Technology for Intelligence in Cybersecurity


Oslo Analytics aims at investigating and developing technology for automated cyberattack detection, prediction and prevention coupled with situational intelligence analysis. More specifically the project will build and validate innovative cybersecurity intelligence technology based on statistical analysis of security data as well as on subjective Bayesian networks for intelligence analysis. Given that modern cyberattacks are rapidly changing and are becoming increasingly stealthy and deceptive, cybersecurity tools must be sufficiently flexible and adaptable to this trend in order to be of any value. Oslo Analytics takes the approach that cybersecurity tools must be enhanced with advanced intelligence analysis capabilities to be able to meet these criteria. This type of tools will make government and private security agencies more potent against cybercrime in a world of rapidly changing security threats. Oslo Analytics brings together an international consortium of organisations with deep and solid expertise in their fields which have the capacity to produce valuable deliverables and, through their collaboration, create a strong community for excellence in cybersecurity intelligence.

Project leader: Audun Jøsang

Started: 2016

Ends: 2021

Category: Universiteter

Sector: UoH-sektor

Budget: 10824000

Institution: Institutt for informatikk

Address: Oslo