NTNU Digital Forensics Group research projects

Focus Topics

  • Research in the area of large-scale investigations; automatic search through terabytes of electronic data storage within closed systems and the Internet,
  • Research and development for the rapid acquisition, correlation and analysis of Internet-related evidence,
  • Technologies for cross-media search and data integration to access diverse sources of information, in particular data enrichment from Internet sources,
  • Algorithms for the analysis of encrypted evidence and cryptographic credentials,
  • Design of advanced computing technologies to achieve more objective evidence analysis and final decision making by implementing computational intelligence,
  • Develop of methods and tools for digital penetrator attribution and profiling, visualization of serious criminal relationships and associations, and geographical mapping of digital and physical evidence.

Computational-intelligent Methods used

  • Machine Learning and Pattern Recognition: Abstract measurements are classified as belonging to one or more classes, e.g., whether a sample belongs to a known/abnormal class and with what probability, a mathematical model is learnt from examples.
  • Data Mining: large volumes of data are processed to discover nuggets of information, e.g., presence of associations, number of clusters, outliers, etc.
  • Computer Graphics / Data Visualization: Two-dimensional images or three-dimensional scenes are synthesized from multi-dimensional data for better human understanding,
  • Signal / Image Processing: One-dimensional signals and two-dimensional images are transformed for better human or machine processing,
  • Computer Vision: Images are automatically recognized to identify objects,
  • Robotics: human movements are replicated by a machine.



Overview NTNU Digital Forensics Group projects - current and previous