Title:	A SOURCE ADDRESS REPUTATION SYSTEM TO COMBATING CHILD PORNOGRAPHY AT THE NETWORK LEVEL
Author(s):	Munish Chopra , Miguel Vargas Martin , Luis Rueda , Patrick C.k. Hung
ISBN:	972-8924-09-7
Editors:	Nuno Guimarães, Pedro Isaías and Ambrosio Goikoetxea
Year:	2006
Edition:	Single
Keywords:	Combating child pornography, network infrastructure, packet classification.
Type:	Short Paper
First Page:	472
Last Page:	477
Language:	English
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Full Contents:	click to dowload
Paper Abstract:	Child pornography is an increasingly visible problem in society today. Methods currently employed to combat it may be considered primitive and inefficient, and legal and technical issues can exacerbate the problem significantly. We propose a source address reputation system based on Bloom filters and a novel classification system that utilizes a stochastic weak estimator coupled with a linear classifier, which is appropriate in this context due to the non-stationarity of the input data. This method for identifying offensive material is potentially attractive to law enforcement and can be accomplished with acceptable overhead. We believe our approach, with minor adaptations, is of independent interest for use in a number of network applications, which benefit from packet classification, beyond detecting child pornography, including security applications such as intrusion detection.
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