Filtering image-based spam using multifractal analysis and active learning feedback-driven semi-supervised support vector machine

Abstract

Traditional anti-spam technologies can't block image-based spam because spammers employ a variety of image creation and randomization algorithms to make the message fully legible by the human eye but undistinguishable by the most anti-spam engines. In this paper we propose a novel composite method to filter image-based spam accurately and effectively, which… (More)

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Cite this paper

@article{Zhong2013FilteringIS, title={Filtering image-based spam using multifractal analysis and active learning feedback-driven semi-supervised support vector machine}, author={Jian Zhong and Yilu Zhou and Wei Deng}, journal={IEEE Conference Anthology}, year={2013}, pages={1-5} }