Child pornography
Alternative labels
Child exploitation material
Report
Financial risk indicators of child sexual abuse live streaming: a proof of concept prediction model
The live streaming of child sexual abuse (CSA) is a technologically and financially enabled crime type which has proliferated in recent years. This study uses a machine learning approach to produce a proof-of-concept model for identifying financial indicators associated with CSA live streaming. It reveals an important opportunity to use financial transactions to detect and...
Report
Who benefits? Shining a light on the business of child sexual exploitation and abuse
The sexual exploitation and abuse of children is a global health crisis. This report into the nature of the crisis underscores the need for urgent action, provides solutions and shines a light on the financial networks that fuel it. Who benefits is as disturbing as it is clear: organised crime groups and mainstream technology companies.
Literature review
Artificial intelligence and child sexual abuse
This study describes the state of current research at the intersection of artificial intelligence (AI) and child sexual abuse (CSA). It examines the uses of AI for the prevention and disruption of CSA, and the ways in which AI is used in CSA offending. An evidence gap map is provided to guide future research.
Briefing paper
Benefits and risks of implementing cloud-based technology for child sexual abuse investigations in Australia
This paper investigates how a shared responsibility model for cloud-based infrastructure (CBI) could allow investigators to take advantage of CBI's benefits to scale, speed and inter-agency cooperation while minimising the risk to law enforcement agencies and victims. It proposes CBI as a scalable method to manage this material, arguing for a tailored security environment to...
Report
Risk factors for receiving requests to facilitate child sexual exploitation and abuse on dating apps and websites
This study investigates the risk factors for dating app and website users receiving requests from other users to facilitate child sexual exploitation and abuse. It does so by analysing data from a large survey of dating app and website users residing in Australia.