Towards detection of child sexual abuse media: Categorization of the associated filenames

Alexander Panchenko, Richard Beaufort, Hubert Naets, Cédrick Fairon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Citations (Scopus)

Abstract

This paper approaches the problem of automatic pedophile content identification. We present a system for filename categorization, which is trained to identify suspicious files on P2P networks. In our initial experiments, we used regular pornography data as a substitution of child pornography. Our system separates filenames of pornographic media from the others with an accuracy that reaches 91-97%.

Original languageEnglish
Title of host publicationAdvances in Information Retrieval - 35th European Conference on IR Research, ECIR 2013, Proceedings
Pages776-779
Number of pages4
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event35th European Conference on Information Retrieval, ECIR 2013 - Moscow, Russian Federation
Duration: 24 Mar 201327 Mar 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7814 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference35th European Conference on Information Retrieval, ECIR 2013
Country/TerritoryRussian Federation
CityMoscow
Period24/03/1327/03/13

Keywords

  • child pornography
  • P2P networks
  • short text categorization

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