Ars Forensica – IKTPLUSS NFR project

Ars Forensica

IKTPLUSS Project

Ars Forensica

Ars Forensica intro

The Ars Forensica project on Computational Forensics for Large-scale Fraud Detection, Crime Investigation & Prevention is funded by the Research Council of Norway for the period 2015-2019.

The overall objective of Ars Forensica is to provide new knowledge that can significantly improve the prevention, preparedness, investigation and prosecution of incidents in ICT environments, without compromising privacy and the rule of law. Ars Forensica addresses topics related to the Research Council of Norway (RCN) IKTPLUSS – programme:

  1. Robust and secure (ICT) infrastructures and systems;
  2. Privacy-preserving technologies, and
  3. Interaction between technology, individuals and communities.

Contact Ars Forensica

Contact

Project leader

Professor Katrin Franke, katrin.franke@ntnu.no

person-portlet

Coordinator

Ars Forensica partners

Project partners

  • Norwegian Computing Center
  • The Norwegian Police University College (PHS)
  • The Norwegian Police Directorate (POD)
  • The Norwegian National Authority for Investigation and Prosecution of Economic and Environmental Crime (ØKOKRIM)
  • Oslo Police District

Industry partners

  • FinansCERT
  • mnemonic

International cooperation

  • Netherlands Forensics Institute (NFI)
  • United Nations Interregional Crime and Justice Research Institute (UNICRI)
  • Synergetics

International academic partners

  • University of California Santa Cruz (UCSC), USA
  • Kyushu Institute of Technology (Kyutech), Japan
  • University of Groningen (RUG) - Security, Technology and e-Privacy Research Group (STEP), The Netherlands

Digital investigation in Norway

Digital investigations in the Norwegian financial sector

This project focuses on proactive and reactive digital investigations in the Norwegian financial sector in order to prevent and combat fraud, economic crime, money laundering and terror finance. Fraud prevention and criminal investigations lead to exciting research challenges, i.e.

  1. Huge amount of electronic data needs to be analysed
  2. Tiny pieces of evidence that are hidden in a chaotic environment
  3. Diverse quality of traces and possibility of obfuscating / planting
  4. Dynamic environments and permanently changing situations / contexts
  5. Partial knowledge, required approximation
  6. Decision making under uncertainties and conjectures

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Members