Towards Detection of Child Sexual Abuse Media: Categorization of the Associated Filenames

摘要

This paper approaches the problem of automatic pedophile content identification by means of filename categorization. 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 of 91–97%.