Cited by 80Digital Media Forensic DetectionDigital and Cyber ForensicsAdvanced Steganography and Watermarking Techniques

Detecting child sexual abuse material: A comprehensive survey

Lee, Hee-Eun, Ermakova, Tatiana, Ververis, Vasilis, Fabian, Benjamin·2020·Forensic Science International: Digital Investigation

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Crossref · 10.1016/j.fsidi.2020.301022

Cites

52 of 52 references verified0 citation errors · 0 not checkable

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  • Releasing datasets containing CSAM material prior to assessment in the name of openness would pose a clear risk.

    “For instance, in the case of dealing with datasets that contain CSAM material, the release of data prior to assessment in the name of openness would pose a clear risk [4, 31].”
  • Lee et al. [17] provided a comprehensive survey on child sexual abuse material detection, focusing on distribution methods, policy and legal framework dimensions, and detection applications and implementations.

    “For instance, Lee et al. [17] provided a comprehensive survey on child sexual abuse material detection.The main focus was distribution methods, policy and legal framework dimensions, and detection applications and implementations.”

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Authors
Lee, H.-E., Ermakova, T., Ververis, V., & Fabian, B.
Affiliations
  • Humboldt-Universität zu Berlin (DE)
  • Fraunhofer Institute for Open Communication Systems (DE)
Corresponding author
Ermakova, Tatiana
Venue
Forensic Science International: Digital Investigation
Publisher
Elsevier BV
Published
2020-09
Volume
34
Pages
301022
ISSN
2666-2817 (ISSN-L)
OpenAlex
W3044564311
Cited by
80
References
52
Citations by year
2026: 10 · 2025: 14 · 2024: 14 · 2023: 25 · 2022: 7 · 2021: 8 · 2020: 2
FWCI
4.08
Type
journal article
Language
en
Open access
closed
Locations
  • Forensic Science International Digital Investigation (publishedVersion)
  • Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (submittedVersion)
  • Fraunhofer-Publica (Fraunhofer-Gesellschaft) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Digital Media Forensic Detection
  • Physical Sciences › Computer Science › Information Systems › Digital and Cyber Forensics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Steganography and Watermarking Techniques
Keywords
child pornography, online child sexual exploitation, web crawling, visual detection, deep learning, revictimization, legal and policy frameworks, distribution channels

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