Eichhorn M, Gabel F, Freiling F (2026)
Publication Type: Journal article
Publication year: 2026
Book Volume: 57
Article Number: 302117
DOI: 10.1016/j.fsidi.2026.302117
We present a definition and taxonomy of digital surveillance cameras and provide a structured approach for extracting forensically relevant artifacts from these devices. As part of this approach, we implemented a Python-based framework for automatically and reproducibly generating test data within a camera test environment and evaluated it using 9 cameras from various manufacturers. We show that despite considerable device diversity, some devices exhibit minimal differences upon closer examination of their forensic artifacts. Still, although some generalization across camera subgroups is possible, device-specific analysis remains necessary for a comprehensive forensic investigation.
APA:
Eichhorn, M., Gabel, F., & Freiling, F. (2026). Every Frame You Take: A Taxonomy and Reproducible Testing Framework for Digital Surveillance Cameras. Forensic Science International: Digital Investigation, 57. https://doi.org/10.1016/j.fsidi.2026.302117
MLA:
Eichhorn, Maximilian, Felix Gabel, and Felix Freiling. "Every Frame You Take: A Taxonomy and Reproducible Testing Framework for Digital Surveillance Cameras." Forensic Science International: Digital Investigation 57 (2026).
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