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CIKM
2009
Springer
15 years 3 months ago
Ensembles in adversarial classification for spam
The standard method for combating spam, either in email or on the web, is to train a classifier on manually labeled instances. As the spammers change their tactics, the performanc...
Deepak Chinavle, Pranam Kolari, Tim Oates, Tim Fin...
AICCSA
2005
IEEE
105views Hardware» more  AICCSA 2005»
15 years 5 months ago
Multivariate statistical analysis for network attacks detection
Detection and self-protection against viruses, worms, and network attacks is urgently needed to protect network systems and their applications from catastrophic failures. Once a n...
Guangzhi Qu, Salim Hariri, Mazin S. Yousif
CEAS
2008
Springer
15 years 1 months ago
Detecting Known and New Salting Tricks in Unwanted Emails
Spam and phishing emails are not only annoying to users, but are a real threat to internet communication and web economy. The fight against unwanted emails has become a cat-and-mo...
André Bergholz, Gerhard Paass, Frank Reicha...
CIKM
2011
Springer
13 years 11 months ago
Content-driven detection of campaigns in social media
We study the problem of detecting coordinated free text campaigns in large-scale social media. These campaigns – ranging from coordinated spam messages to promotional and advert...
Kyumin Lee, James Caverlee, Zhiyuan Cheng, Daniel ...
ICDIM
2007
IEEE
15 years 6 months ago
A complexity-based method for anti-spamming
A huge diversity of approaches is in use to deal with network security and spam in particular. In this paper, we focus on a relatively new approach whose foundations rely on the w...
F. Faure, M. Lopusniac, Gilles Richard, Muhammad F...