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ICPR
2008
IEEE
14 years 2 months ago
Spam filtering with several novel bayesian classifiers
In this paper, we report our work on spam filtering with three novel bayesian classification methods: Aggregating One-Dependence Estimators (AODE), Hidden Naïve Bayes (HNB), Loca...
Chuanliang Chen, Yingjie Tian, Chunhua Zhang
AICT
2006
IEEE
104views Communications» more  AICT 2006»
13 years 10 months ago
An Automation of Mail Channels
Mail channels allow an electronic mail (e-mail) user to have multiple points of contact, each with a potentially different policy. For example, a user may have two channels, one fo...
Nicholas M. Boers, Pawel Gburzynski
INFOCOM
2011
IEEE
12 years 12 months ago
SocialFilter: Introducing social trust to collaborative spam mitigation
—We propose SocialFilter, a trust-aware collaborative spam mitigation system. Our proposal enables nodes with no email classification functionality to query the network on wheth...
Michael Sirivianos, Kyungbaek Kim, Xiaowei Yang
CCS
2010
ACM
13 years 8 months ago
@spam: the underground on 140 characters or less
In this work we present a characterization of spam on Twitter. We find that 8% of 25 million URLs posted to the site point to phishing, malware, and scams listed on popular blackl...
Chris Grier, Kurt Thomas, Vern Paxson, Michael Zha...
CIKM
2007
Springer
14 years 2 months ago
Spam filtering for short messages
We consider the problem of content-based spam filtering for short text messages that arise in three contexts: mobile (SMS) communication, blog comments, and email summary informa...
Gordon V. Cormack, José María G&oacu...