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CEAS
2004
Springer
14 years 27 days ago
2004
Springer
End users are often unaware that their systems have been compromised and are being used to send bulk unsolicited email (spam). We show how automated processing of the email logs re...
CEAS
2004
Springer
14 years 27 days ago
2004
Springer
In addition to traditional spam detection applications, new methods of filtering messages – including whitelist and social network based filters – are being investigated to fur...
CEAS
2004
Springer
14 years 27 days ago
2004
Springer
Signature-driven spam detection provides an alternative to machine learning approaches and can be very effective when near-duplicates of essentially the same message are sent in h...
CEAS
2004
Springer
14 years 27 days ago
2004
Springer
The state of the art sees content-based filters tending towards collaborative filters, whereby email is filtered at the MTA with users feeding information back about false posit...
CEAS
2004
Springer
14 years 27 days ago
2004
Springer
This paper introduces the SpamBayes classification engine and outlines the most important features and techniques which contribute to its success. The importance of using the indet...