Forensic authentication examination of webcam videos

Shengnan Li; Mengxuan Yang; Jinhua Zeng

doi:10.1117/12.3026287

8 April 2024 Forensic authentication examination of webcam videos

Shengnan Li, Mengxuan Yang, Jinhua Zeng

Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 130903L (2024) https://doi.org/10.1117/12.3026287
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China

Abstract

With the rise of network cameras, the authenticity of video data they capture has become a common challenge in forensic science and expertise. There are many camera manufacturers and brands available, and videos from different sources have their distinct properties. To evaluate these videos needs further exploration of the key traits. This paper collected eight commonly used network cameras on the market. It studied and analyzed the features of network camera video data from four parts, i.e., storage media traits, video properties, metadata features, and image details. This research builds effective authenticity-proof techniques for webcam recordings by extracting and evaluating their internal features. The results provide core technical guidance and key supporting data for authenticating webcam videos within the domain of forensic science.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shengnan Li, Mengxuan Yang, and Jinhua Zeng "Forensic authentication examination of webcam videos", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 130903L (8 April 2024); https://doi.org/10.1117/12.3026287

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