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» Spam, spam, spam, spam: how can we stop it
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FLAIRS
2008
13 years 9 months ago
On Using SVM and Kolmogorov Complexity for Spam Filtering
As a side effect of e-marketing strategy the number of spam e-mails is rocketing, the time and cost needed to deal with spam as well. Spam filtering is one of the most difficult t...
Sihem Belabbes, Gilles Richard
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...
NSDI
2008
13 years 9 months ago
Exploiting Machine Learning to Subvert Your Spam Filter
Using statistical machine learning for making security decisions introduces new vulnerabilities in large scale systems. This paper shows how an adversary can exploit statistical m...
Blaine Nelson, Marco Barreno, Fuching Jack Chi, An...
COMPSEC
2006
132views more  COMPSEC 2006»
13 years 7 months ago
Tightening the net: A review of current and next generation spam filtering tools
This paper provides an overview of current and potential future spam filtering approaches. We examine the problems spam introduces, what spam is and how we can measure it. The pap...
James Carpinter, Ray Hunt
NSDI
2008
13 years 9 months ago
Peeking into Spammer Behavior from a Unique Vantage Point
Understanding the spammer behavior is a critical step in the long-lasting battle against email spams. Previous studies have focused on setting up honeypots or email sinkholes cont...
Abhinav Pathak, Y. Charlie Hu, Zhuoqing Morley Mao