Detecting child sexual abuse material: A comprehensive survey-Reference-Cited by-同舟云学术

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Detecting child sexual abuse material: A comprehensive survey

Published:2020-09 Issue: Volume:34 Page:301022
ISSN:2666-2817
Container-title:Forensic Science International: Digital Investigation
language:en
Short-container-title:Forensic Science International: Digital Investigation

Author:

Lee Hee-Eun,Ermakova Tatiana,Ververis Vasilis,Fabian Benjamin

Publisher

Elsevier BV

Reference71 articles.

1. Behavioural evidence analysis applied to digital forensics: an empirical analysis of child pornography cases using P2P networks;Al Mutawa,2015

2. An investigation into darknets and the content available via anonymous peer-to-peer file sharing;Aked,2011

3. Online child sexual abuse. The law enforcement response;Baines,2008

4. The darknet and the future of content protection;Biddle,2002

Cited by 31 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Scalable Image Clustering to screen for self-produced CSAM;EAI Endorsed Transactions on Internet of Things;2024-07-15

2. Rethinking open source generative AI: open washing and the EU AI Act;The 2024 ACM Conference on Fairness, Accountability, and Transparency;2024-06-03

3. Users' Perceptions of Online Child Abuse Detection Mechanisms;Proceedings of the ACM on Human-Computer Interaction;2024-04-17

4. Role of Artificial Intelligence in the Prevention of Online Child Sexual Abuse: A Systematic Review of Literature;Journal of Applied Security Research;2024-04

5. How Risky is Online Sexting by Minors?;Journal of Child Sexual Abuse;2024-02-17

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