Detecting image spam using local invariant features and pyramid match kernel

Abstract

Image spam is a new obfuscating method which spammers invented to more effectively bypass conventional text based spam filters. In this paper, we extract local invariant features of images and run a one-class SVM classifier which uses the pyramid match kernel as the kernel function to detect image spam. Experimental results demonstrate that our algorithm is… (More)
DOI: 10.1145/1526709.1526921

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Cite this paper

@inproceedings{Zuo2009DetectingIS, title={Detecting image spam using local invariant features and pyramid match kernel}, author={Haiqiang Zuo and Weiming Hu and Ou Wu and Yunfei Chen and Guan Luo}, booktitle={WWW}, year={2009} }