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CEAS
2011
Springer
12 years 7 months ago
Blocking spam by separating end-user machines from legitimate mail server machines
Spamming botnets present a critical challenge in the control of spam messages due to the sheer volume and wide spread of the botnet members. In this paper we advocate the approach...
Fernando Sanchez, Zhenhai Duan, Yingfei Dong
ESWA
2007
117views more  ESWA 2007»
13 years 7 months ago
An HMM for detecting spam mail
Hidden Markov Models, or HMMs for short, have been recently used in Bioinformatics for the classification of DNA or protein chains, giving rise to what is known as Profile Hidde...
José Gordillo, Eduardo Conde
CEAS
2007
Springer
13 years 11 months ago
Learning Fast Classifiers for Image Spam
Recently, spammers have proliferated "image spam", emails which contain the text of the spam message in a human readable image instead of the message body, making detect...
Mark Dredze, Reuven Gevaryahu, Ari Elias-Bachrach
ACSW
2006
13 years 8 months ago
Catching spam before it arrives: domain specific dynamic blacklists
1 The arrival of any piece of unsolicited and unwanted email (spam) into a user's email inbox is a problem. It results in real costs to organisations and possibly an increasin...
Duncan Cook, Jacky Hartnett, Kevin Manderson, Joel...
CEAS
2008
Springer
13 years 9 months ago
A Survey of Modern Spam Tools
Over the past 5 years, spam sending technology has improved dramatically. Static messages sent opportunistically through misconfigured hosts have evolved into dynamically generate...
Henry Stern