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» Spam Email Filtering Using Network-Level Properties
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ICASSP
2009
IEEE
13 years 2 months ago
Image spam filtering using Fourier-Mellin invariant features
Image spam is a new obfuscating method which spammers invented to more effectively bypass conventional text based spam filters. In this paper, a framework for filtering image spam...
Haiqiang Zuo, Xi Li, Ou Wu, Weiming Hu, Guan Luo
ECIR
2006
Springer
13 years 6 months ago
Filtering Obfuscated Email Spam by means of Phonetic String Matching
Rule-based email filters mainly rely on the occurrence of critical words to classify spam messages. However, perceptive obfuscation techniques can be used to elude exact pattern ma...
Valerio Freschi, Andrea Seraghiti, Alessandro Bogl...
SIGIR
2009
ACM
13 years 11 months ago
On the relative age of spam and ham training samples for email filtering
Email spam filters are commonly trained on a sample of spam and ham (non-spam) messages. We investigate the effect on filter performance of using samples of spam and ham messag...
Gordon V. Cormack, Jose-Marcio Martins da Cruz
ACSAC
2010
IEEE
13 years 2 months ago
Spam mitigation using spatio-temporal reputations from blacklist history
IP blacklists are a spam filtering tool employed by a large number of email providers. Centrally maintained and well regarded, blacklists can filter 80+% of spam without having to...
Andrew G. West, Adam J. Aviv, Jian Chang, Insup Le...
HIS
2004
13 years 6 months ago
An Empirical Performance Comparison of Machine Learning Methods for Spam E-Mail Categorization
The increasing volume of unsolicited bulk e-mail (also known as spam) has generated a need for reliable anti-spam filters. Using a classifier based on machine learning techniques ...
Chih-Chin Lai, Ming-Chi Tsai