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» Image Spam Filtering by Content Obscuring Detection
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ICASSP
2010
IEEE
13 years 7 months ago
A nonnegative sparsity induced similarity measure with application to cluster analysis of spam images
Image spam is an email spam that embeds text content into graphical images to bypass traditional spam filters. The majority of previous approaches focus on filtering image spam ...
Yan Gao, Alok N. Choudhary, Gang Hua
ECRIME
2007
13 years 11 months ago
Fighting unicode-obfuscated spam
In the last few years, obfuscation has been used more and more by spammers to make spam emails bypass filters. The standard method is to use images that look like text, since typi...
Changwei Liu, Sid Stamm
CEAS
2008
Springer
13 years 9 months ago
Improving Image Spam Filtering Using Image Text Features
In this paper we consider the approach to image spam filtering based on using image classifiers aimed at discriminating between ham and spam images, previously proposed by other a...
Giorgio Fumera, Fabio Roli, Battista Biggio, Ignaz...
SP
2010
IEEE
176views Security Privacy» more  SP 2010»
13 years 5 months ago
Investigation of Triangular Spamming: A Stealthy and Efficient Spamming Technique
Spam is increasingly accepted as a problem associated with compromised hosts or email accounts. This problem not only makes the tracking of spam sources difficult but also enables ...
Zhiyun Qian, Zhuoqing Morley Mao, Yinglian Xie, Fa...
CEAS
2008
Springer
13 years 9 months ago
Exploiting Transport-Level Characteristics of Spam
We present a novel spam detection technique that relies on neither content nor reputation analysis. This work investigates the discriminatory power of email transport-layer charac...
Robert Beverly, Karen R. Sollins