Discovering Child Sexual Abuse Material Creator´s Behaviors and Preferences on the Dark Web

Description

The research team proposed a CSAM detection intelligence system. The system uses a manually labelled dataset to train, evaluate and select an efficient CSAM classification model. By identifying CSAM creators and victims through CSAM posts on the dark web, we proceed to analyze the material with a classifier, visualizing and uncovering information concerning the behaviors of CSAM creators and victims.

Tags
Child Sexual Abuse Material (CSAM)PerpetratorsClustering/Classification
Type
Research (peer reviewed)
Year
2023