Investigation, Detection and Prevention of Online Child Sexual Abuse Material: A Comprehensive Survey

Authors

Vuong Ngo, Technological University DublinFollow
Christina Thorpe, Technological University DublinFollow
Cach N. Dang, Ho Chi Minh City University of TransportFollow
Susan Mckeever, Technological University DublinFollow

Document Type

Conference Paper

Rights

Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence

Disciplines

Computer Sciences, Information Science, 5.1 PSYCHOLOGY, *and mental disabilities

Publication Details

The16th IEEE International Conference on Computing and Communication Technologies (RIVF-2022), pp. 707-713. doi: 10.1109/RIVF55975.2022.10013853

Published version:

https://ieeexplore.ieee.org/document/10013853

Abstract

Child sexual abuse inflicts lifelong devastating consequences for victims and is a growing social concern. In most countries, child sexual abuse material (CSAM) distribution is illegal. As a result, there are many research papers in the literature which proposed technologies to detect and investigate CSAM. In this survey, a comprehensive search of the peer reviewed journal and conference paper databases (including preprints) is conducted to identify high-quality literature. We use the PRISMA methodology to refine our search space to 2,761 papers published by Springer, Elsevier, IEEE and ACM. After iterative reviews of title, abstract and full text for relevance to our topics, 43 papers are included for full review. Our paper provides a comprehensive synthesis about the tasks of the current research and how the papers use techniques and dataset to solve their tasks and evaluate their models. To the best of our knowledge, we are the first to focus exclusively on online CSAM detection and prevention with no geographic boundaries, and the first survey to review papers published after 2018. It can be used by researchers to identify gaps in knowledge and relevant publicly available datasets that may be useful for their research.

DOI

https://doi.org/10.1109/RIVF55975.2022.10013853

Recommended Citation

V. M. Ngo, C. Thorpe, C. N. Dang and S. Mckeever, "Investigation, Detection and Prevention of Online Child Sexual Abuse Materials: A Comprehensive Survey," 2022 RIVF International Conference on Computing and Communication Technologies (RIVF), Ho Chi Minh City, Vietnam, 2022, pp. 707-713, doi: 10.1109/RIVF55975.2022.10013853.

Funder

The Safe Online Initiative of End Violence and the Tech Coalition

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.