University of Twente Student Theses
The deepfake problem : Developing a novel maturity model for forensic image authentication research
Riphagen, Quinten (2022) The deepfake problem : Developing a novel maturity model for forensic image authentication research.
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| Abstract: | The possibility and ease of manipulating evidence with deepfake technology poses a threat to the judicial system. Video evidence cannot be trusted on face value anymore and requires analysis for possible manipulation. Forensic research organizations around the world lack the tools to benchmark and improve their image authentication capabilities. In this paper, the image authentication process is explored and the first image authentication capability maturity model (IACMM) is proposed to provide these organizations with the tools to incrementally increase their image authentication maturity. |
| Item Type: | Essay (Master) |
| Clients: | Netherlands Forensic Institute, The Hague, The Netherlands |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science, 85 business administration, organizational science |
| Programme: | Business Information Technology MSc (60025) |
| Link to this item: | https://purl.utwente.nl/essays/93179 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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