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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...
ECRIME
2007
13 years 9 months ago
Fighting unicode-obfuscated spam
In the last few years, obfuscation has been used more and more by spammers to make spam emails bypass filters. The standard method is to use images that look like text, since typi...
Changwei Liu, Sid Stamm
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
DOCENG
2006
ACM
13 years 11 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...
CEAS
2005
Springer
13 years 10 months ago
Good Word Attacks on Statistical Spam Filters
Unsolicited commercial email is a significant problem for users and providers of email services. While statistical spam filters have proven useful, senders of spam are learning ...
Daniel Lowd, Christopher Meek