Towards Detection of Child Sexual Abuse Media: Categorization of the Associated Filenames
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- Panchenko A., Beaufort R., Naets H., Fairon C. (2013) Towards Detection of Child Sexual Abuse Media: Categorization of the Associated Filenames. In: Serdyukov P. et al. (eds) Advances in Information Retrieval. ECIR 2013. Lecture Notes in Computer Science, vol 7814. Springer, Berlin, Heidelberg
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%.
Keywordsshort text categorization P2P networks child pornography
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