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...
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...
Spam-reduction techniques have developed rapidly over the last few years, as spam volumes have increased. We believe that no one anti-spam solution is the “right” answer, and t...
Richard Segal, Jason Crawford, Jeffrey O. Kephart,...
Gray mail, messages that could reasonably be considered either spam or good by different email users, is a commonly observed issue in production spam filtering systems. In this pa...