Supporting law enforcement in digital communities through natural language analysis

Hughes, D, Rayson, P, Walkerdine, J, Lee, K ORCID: https://orcid.org/0000-0002-2730-9150, Greenwood, P, Rashid, A, May-Chahal, C and Brennan, M, 2008. Supporting law enforcement in digital communities through natural language analysis. In: Srihari, SN and Franke, K, eds., Computational Forensics: Proceedings of the Second International Workshop, IWCF 2008, Washington DC, United States, 7-8 August 2008. Berlin: Springer, pp. 122-134. ISBN 9783540853022

Preview

Text 221152_2817.pdf Download (125kB) | Preview

Abstract

Recent years have seen an explosion in the number and scale of digital communities (e.g. peer-to-peer file sharing systems, chat applications and social networking sites). Unfortunately, digital communities are host to significant criminal activity including copyright infringement, identity theft and child sexual abuse. Combating this growing level of crime is problematic due to the ever increasing scale of today’s digital communities. This paper presents an approach to provide automated support for the detection of child sexual abuse related activities in digital communities. Specifically, we analyze the characteristics of child sexual abuse media distribution in P2P file sharing networks and carry out an exploratory study to show that corpus-based natural language analysis may be used to automate the detection of this activity. We then give an overview of how this approach can be extended to police chat and social networking communities.

Item Type:	Chapter in book
Creators:	Hughes, D., Rayson, P., Walkerdine, J., Lee, K., Greenwood, P., Rashid, A., May-Chahal, C. and Brennan, M.
Publisher:	Springer
Place of Publication:	Berlin
Date:	2008
ISBN:	9783540853022
ISSN:	0302-9743
Identifiers:	Number Type 10.1007/978-3-540-85303-9_12 DOI
Divisions:	Schools > School of Science and Technology
Record created by:	EPrints Services
Date Added:	09 Oct 2015 09:57
Last Modified:	09 Jun 2017 13:15
URI:	https://irep.ntu.ac.uk/id/eprint/5287

Actions (login required)

Edit View

Statistics

Views

Downloads