248 search results - page 2 / 50 » Characterizing a spam traffic |
CEAS
2008
Springer
14 years 25 days ago
2008
Springer
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...
CEAS
2007
Springer
14 years 5 months ago
2007
Springer
Web spam research has been hampered by a lack of statistically significant collections. In this paper, we perform the first large-scale characterization of web spam using conten...
NSDI
2008
14 years 1 months ago
2008
We develop new techniques to map botnet membership using traces of spam email. To group bots into botnets we look for multiple bots participating in the same spam email campaign. ...
CEAS
2007
Springer
14 years 5 months ago
2007
Springer
We propose a discriminative classifier learning approach to image modeling for spam image identification. We analyze a large number of images extracted from the SpamArchive spam c...
CEAS
2011
Springer
12 years 10 months ago
2011
Springer
Web mail providers rely on users to “vote” to quickly and collaboratively identify spam messages. Unfortunately, spammers have begun to use bots to control large collections o...