Criminology and Criminal Justice Commons^™

Detecting Child Sexual Abuse Images: Traits Of Child Sexual Exploitation Hosting And Displaying Websites, Enrique Guerra, Bryce G. Westlake

Faculty Research, Scholarly, and Creative Activity

Background
Automated detection of child sexual abuse images (CSAI) often relies on image attributes, such as hash values. However, electronic service providers and others without access to hash value databases are limited in their ability to detect CSAI. Additionally, the increasing amount of CSA content being distributed means that a large percentage of images are not yet cataloged in hash value databases. Therefore, additional detection criteria need to be determined to improve identification of non-hashed CSAI.
Objective
We aim to identify patterns in the locations and folder/file naming practices of websites hosting and displaying CSAI, to use as additional detection …