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ICML
2009
IEEE
14 years 9 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
CCS
2010
ACM
13 years 6 months ago
Exploiting social networking sites for spam
In this work we present our friend-in-the-middle attacks on SNSs and how it can be used to harvest social data in an automated fashion. This social data can then be exploited for ...
Marcus Huber, Martin Mulazzani, Edgar Weippl, Gerh...
CEAS
2004
Springer
14 years 2 months ago
Word Stemming to Enhance Spam Filtering
Generally a content based spam filter works on words and phrases of email text and if it finds offensive content it gives that email a numerical value (depending on the content). A...
Shabbir Ahmed, Farzana Mithun
SIGIR
2010
ACM
14 years 20 days ago
Uncovering social spammers: social honeypots + machine learning
Web-based social systems enable new community-based opportunities for participants to engage, share, and interact. This community value and related services like search and advert...
Kyumin Lee, James Caverlee, Steve Webb
CEAS
2008
Springer
13 years 10 months ago
A Survey of Modern Spam Tools
Over the past 5 years, spam sending technology has improved dramatically. Static messages sent opportunistically through misconfigured hosts have evolved into dynamically generate...
Henry Stern