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» Spam, spam, spam, spam: how can we stop it
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CN
2007
88views more  CN 2007»
13 years 7 months ago
DMTP: Controlling spam through message delivery differentiation
Unsolicited commercial email, commonly known as spam, has become a pressing problem in today’s Internet. In this paper we re-examine the architectural foundations of the current...
Zhenhai Duan, Yingfei Dong, Kartik Gopalan
ICML
2009
IEEE
14 years 8 months ago
Bayesian clustering for email campaign detection
We discuss the problem of clustering elements according to the sources that have generated them. For elements that are characterized by independent binary attributes, a closedform...
Peter Haider, Tobias Scheffer
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...
PAM
2009
Springer
14 years 2 months ago
Inferring Spammers in the Network Core
Despite a large amount of effort devoted in the past years trying to limit unsolicited mail, spam is still a major global concern. Content-analysis techniques and blacklists, the m...
Dominik Schatzmann, Martin Burkhart, Thrasyvoulos ...
IFIP
2009
Springer
14 years 2 months ago
Detecting Spam at the Network Level
Spam is increasingly a core problem affecting network security and performance. Indeed, it has been estimated that 80% of all email messages are spam. Content-based filters are a ...
Anna Sperotto, Gert Vliek, Ramin Sadre, Aiko Pras