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ACL
2009
13 years 5 months ago
The Contribution of Stylistic Information to Content-based Mobile Spam Filtering
Content-based approaches to detecting mobile spam to date have focused mainly on analyzing the topical aspect of a SMS message (what it is about) but not on the stylistic aspect (...
Dae-Neung Sohn, Jung-Tae Lee, Hae-Chang Rim
WWW
2009
ACM
14 years 8 months ago
Detecting image spam using local invariant features and pyramid match kernel
Image spam is a new obfuscating method which spammers invented to more effectively bypass conventional text based spam filters. In this paper, we extract local invariant features ...
Haiqiang Zuo, Weiming Hu, Ou Wu, Yunfei Chen, Guan...
CORR
2010
Springer
115views Education» more  CORR 2010»
13 years 4 months ago
Novel Mechanism to Defend DDoS Attacks Caused by Spam
Corporate mail services are designed to perform better than public mail services. Fast mail delivery, large size file transfer as an attachments, high level spam and virus protect...
Dhinaharan Nagamalai, Beatrice Cynthia Dhinakaran,...
CEAS
2007
Springer
14 years 1 months ago
Slicing Spam with Occam's Razor
To evade blacklisting, the vast majority of spam email is sent from exploited MTAs (i.e., botnets) and with forged “From” addresses. In response, the anti-spam community has d...
Chris Fleizach, Geoffrey M. Voelker, Stefan Savage
CEAS
2007
Springer
14 years 1 months ago
Image Spam Filtering by Content Obscuring Detection
We address the problem of filtering image spam, a rapidly spreading kind of spam in which the text message is embedded into attached images to defeat spam filtering techniques b...
Battista Biggio, Giorgio Fumera, Ignazio Pillai, F...