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CEAS
2011
Springer
12 years 7 months ago
Spam detection using web page content: a new battleground
Traditional content-based e-mail spam filtering takes into account content of e-mail messages and apply machine learning techniques to infer patterns that discriminate spams from...
Marco Túlio Ribeiro, Pedro Henrique Calais ...
CEAS
2005
Springer
14 years 1 months ago
Good Word Attacks on Statistical Spam Filters
Unsolicited commercial email is a significant problem for users and providers of email services. While statistical spam filters have proven useful, senders of spam are learning ...
Daniel Lowd, Christopher Meek
CEAS
2007
Springer
13 years 11 months ago
Blog Spam: A Review
Blogs are becoming an increasingly popular target for spammers. The existence of multiple vectors for spam injection, the potential of reaching many eyeballs with a single spam, a...
Adam Thomason
CEAS
2005
Springer
14 years 1 months ago
Searching For John Doe: Finding Spammers and Phishers
Microsoft has prosecuted a vigorous civil enforcement campaign against spammers and phishers. When initial investigation into a spam or phishing case fails to reveal the identity ...
Aaron E. Kornblum
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