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» Characterizing Botnets from Email Spam Records
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CEAS
2007
Springer
13 years 11 months ago
A Discriminative Classifier Learning Approach to Image Modeling and Spam Image Identification
We propose a discriminative classifier learning approach to image modeling for spam image identification. We analyze a large number of images extracted from the SpamArchive spam c...
Byungki Byun, Chin-Hui Lee, Steve Webb, Calton Pu
ICC
2009
IEEE
13 years 3 months ago
Simulation of SPIT Filtering: Quantitative Evaluation of Parameter Tuning
A future where Internet Telephony will constitute a target valuable to attack is not so unrealistic. E-mail spam botnets software can be updated to send voice spam (commonly referr...
Federico Menna, Renato Lo Cigno, Saverio Niccolini...
CCS
2010
ACM
13 years 5 months ago
Detecting and characterizing social spam campaigns
Online social networks (OSNs) are popular collaboration and communication tools for millions of users and their friends. Unfortunately, in the wrong hands, they are also effective...
Hongyu Gao, Jun Hu, Christo Wilson, Zhichun Li, Ya...
CEAS
2011
Springer
12 years 5 months ago
Spam detection using web page content: a new battleground
Traditional content-based e-mail spam filtering takes into account content of e-mail messages and apply machine learning techniques to infer patterns that discriminate spams from...
Marco Túlio Ribeiro, Pedro Henrique Calais ...
PAM
2009
Springer
14 years 17 hour ago
Dynamics of Online Scam Hosting Infrastructure
This paper studies the dynamics of scam hosting infrastructure, with an emphasis on the role of fast-flux service networks. By monitoring changes in DNS records of over 350 distin...
Maria Konte, Nick Feamster, Jaeyeon Jung