Detecting child sexual abuse images: Traits of child sexual exploitation hosting and displaying websites
Author:
Publisher
Elsevier BV
Subject
Psychiatry and Mental health,Developmental and Educational Psychology,Pediatrics, Perinatology and Child Health
Reference37 articles.
1. File name classification approach to identify child sexual abuse;Al Nabki,2020
2. Rethinking the detection of child sexual abuse imagery on the internet;Bursztein;The World Wide Web Conference,2019
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1. Role of Artificial Intelligence in the Prevention of Online Child Sexual Abuse: A Systematic Review of Literature;Journal of Applied Security Research;2024-04
2. Discovering child sexual abuse material creators' behaviors and preferences on the dark web;Child Abuse & Neglect;2024-01
3. Using file and folder naming and structuring to improve automated detection of child sexual abuse images on the Dark Web;Forensic Science International: Digital Investigation;2023-12
4. Technology-Facilitated Abuse Victimization: A Gendered Analysis in a Representative Survey of Adults;Feminist Criminology;2023-08-21
5. Investigation, Detection and Prevention of Online Child Sexual Abuse Materials: A Comprehensive Survey;2022 RIVF International Conference on Computing and Communication Technologies (RIVF);2022-12-20
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