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» An In-depth Analysis of Spam and Spammers
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CEAS
2008
Springer
13 years 8 months ago
A Campaign-based Characterization of Spamming Strategies
This paper presents a methodology for the characterization of spamming strategies based on the identification of spam campaigns. To deeply understand how spammers abuse network re...
Pedro Calais, Douglas Pires, Dorgival Olavo Guedes...
CEAS
2008
Springer
13 years 8 months ago
Do Zebras get more Spam than Aardvarks?
Analysis of traffic logs of email received by a large UK ISP shows considerable disparity between the proportions of spam received by addresses with different first characters. Th...
Richard Clayton
SIGIR
2010
ACM
13 years 10 months 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
SIGMETRICS
2009
ACM
122views Hardware» more  SIGMETRICS 2009»
14 years 23 days ago
Botnet spam campaigns can be long lasting: evidence, implications, and analysis
Accurately identifying spam campaigns launched by a large number of bots in a botnet allows for accurate spam campaign signature generation and hence is critical to defeating spam...
Abhinav Pathak, Feng Qian, Y. Charlie Hu, Zhuoqing...
DAS
2004
Springer
13 years 11 months ago
A Neural Network Classifier for Junk E-Mail
Abstract. Most e-mail readers spend a non-trivial amount of time regularly deleting junk e-mail (spam) messages, even as an expanding volume of such e-mail occupies server storage ...
Ian Stuart, Sung-Hyuk Cha, Charles C. Tappert