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» A Three-Way Decision Approach to Email Spam Filtering
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ISICT
2003
13 years 9 months ago
Spam filters: bayes vs. chi-squared; letters vs. words
We compare two statistical methods for identifying spam or junk electronic mail. Spam filters are classifiers which determine whether an email is junk or not. The proliferation ...
Cormac O'Brien, Carl Vogel
ICIAP
2007
ACM
14 years 2 months ago
Image Spam Filtering Using Visual Information
We address the problem of recognizing the so-called image spam, which consists in embedding the spam message into attached images to defeat techniques based on the analysis of e-m...
Battista Biggio, Giorgio Fumera, Ignazio Pillai, F...
PRL
2008
88views more  PRL 2008»
13 years 8 months ago
Time-efficient spam e-mail filtering using n-gram models
In this paper, we propose spam e-mail filtering methods having high accuracies and low time complexities. The methods are based on the n-gram approach and a heuristics which is re...
Ali Çiltik, Tunga Güngör
NSDI
2008
13 years 10 months ago
Exploiting Machine Learning to Subvert Your Spam Filter
Using statistical machine learning for making security decisions introduces new vulnerabilities in large scale systems. This paper shows how an adversary can exploit statistical m...
Blaine Nelson, Marco Barreno, Fuching Jack Chi, An...
INCDM
2010
Springer
152views Data Mining» more  INCDM 2010»
13 years 12 months ago
Spam Email Filtering Using Network-Level Properties
Abstract. Spam is serious problem that affects email users (e.g. phishing attacks, viruses and time spent reading unwanted messages). We propose a novel spam email filtering appr...
Paulo Cortez, André Correia, Pedro Sousa, M...