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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
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...
DOCENG
2006
ACM
14 years 1 months ago
Content based SMS spam filtering
In the recent years, we have witnessed a dramatic increment in the volume of spam email. Other related forms of spam are increasingly revealing as a problem of importance, special...
José María Gómez Hidalgo, Gui...
DEXAW
2009
IEEE
89views Database» more  DEXAW 2009»
13 years 11 months ago
Collaborative Reputation-based Voice Spam Filtering
We propose a collaborative reputation-based voice spam filtering framework. Our approach uses the cumulative online duration of a VoIP user to derive his reputation value. And we l...
Ruishan Zhang, Andrei Gurtov
FLAIRS
2008
13 years 10 months ago
On Using SVM and Kolmogorov Complexity for Spam Filtering
As a side effect of e-marketing strategy the number of spam e-mails is rocketing, the time and cost needed to deal with spam as well. Spam filtering is one of the most difficult t...
Sihem Belabbes, Gilles Richard