Advancing child sexual abuse investigations using biometrics and social network analysis
Publication Date
3-21-2023
Document Type
Article
Publication Title
Trends and Issues in Crime and Criminal Justice
Issue
668
DOI
10.52922/ti78948
Abstract
This paper demonstrates how biometric features can be extracted from people in child sexual abuse material (CSAM) and examined using social network analysis to reveal important patterns across seized media files. Using an automated software system previously developed by the research team (the Biometric Analyser and Network Extractor), we extract, match and plot multiple biometric attributes (face and voice) from a database of CSAM videos compiled by law enforcement. We apply a series of network measures to illustrate how the biometric match data can be used to rapidly pinpoint key media files associated with an investigation, without the need for an investigator to manually review and catalogue all files. Future directions for this research are also discussed.
Department
Justice Studies
Recommended Citation
Russell Brewer, Bryce Westlake, Thomas Swearingen, Stephen Patterson, David Bright, Arun Ross, Katie Logos, and Dana Michalski. "Advancing child sexual abuse investigations using biometrics and social network analysis" Trends and Issues in Crime and Criminal Justice (2023). https://doi.org/10.52922/ti78948
