ESR12 | Reliability and admissibility of forensic evidence
ESR12 | Reliability and admissibility of forensic evidence
Application status: OpenMain result of the research will be the conceptual framework for evaluating the reliability of digital evidence and the methods used to derive them. The objective is to develop a conceptual framework for evaluating the reliability of digital evidence. The so-called Daubert standard shall be translated from the contemporary analysis of physical evidence in the offline world, to the emerging challenge of forensic investigations in the digital, online world. Special focus shall be given to reliability and admissibility of online forensic methods and tools.
ESR12 | Reliability and Admissibility of Forensic Evidence and Machine Learning
Research project
Reliability and Admissibility of Forensic Evidence and Machine Learning.
Host institution
Norwegian University of Science and Technology (NTNU), Norway.
Objectives
The objective is to develop a conceptual framework for evaluating the reliability of digital evidence. The so-called Daubert standard shall be translated from the contemporary analysis of physical evidence in the offline world, to the emerging challenge of forensic investigations in the digital, online world. Special focus shall be given to reliability and admissibility of online forensic methods and tools.
Expected outcomes
Main result of the research will be the conceptual framework for evaluating the reliability of digital evidence and the methods used to derive them. Research contributes to a deeper understanding if possible implications of: (i) Applying computational methods for compression/ dimensionality reduction that inherit a possible loss of relevant information, (ii) Representing a phenomena with computational parameters that may falsely represent relevant knowledge or information, (iii) Reliability of methods applied to gather/analyse evidence. This position has strong links to Machine Learning Algorithm Interrogation.
Main supervisor
Prof. dr. Katrin Franke (NTNU).
Co-supervisor
Dr. Oleksandr Pastukhov, University of Malta (UOM), Malta.
Planned secondments
Host 1: University of Malta (UOM), Malta.
Host 2: University of Groningen (RUG) – Faculty of Law – Security Technology & e-Privacy Research Group, Netherlands.
Host 3: ERICSSON, Sweden.
