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» Spam Email Filtering Using Network-Level Properties
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AIPRF
2008
13 years 8 months ago
Spam Sender Detection with Classification Modeling on Highly Imbalanced Mail Server Behavior Data
Unsolicited commercial or bulk emails or emails containing viruses pose a great threat to the utility of email communications. A recent solution for filtering is reputation systems...
Yuchun Tang, Sven Krasser, Dmitri Alperovitch, Pau...
CORR
2000
Springer
126views Education» more  CORR 2000»
13 years 6 months ago
Learning to Filter Spam E-Mail: A Comparison of a Naive Bayesian and a Memory-Based Approach
We investigate the performance of two machine learning algorithms in the context of antispam filtering. The increasing volume of unsolicited bulk e-mail (spam) has generated a nee...
Ion Androutsopoulos, Georgios Paliouras, Vangelis ...
CEC
2003
IEEE
13 years 10 months ago
Increasing the accuracy of a spam-detecting artificial immune system
AbstractSpam, the electronic equivalent of junk mail, affects over 600 million users worldwide. Even as anti-spam solutions change to limit the amount of spam sent to users, the se...
Terri Oda, Tony White
CCS
2007
ACM
14 years 23 days ago
Filtering spam with behavioral blacklisting
Spam filters often use the reputation of an IP address (or IP address range) to classify email senders. This approach worked well when most spam originated from senders with fix...
Anirudh Ramachandran, Nick Feamster, Santosh Vempa...
WETICE
2005
IEEE
14 years 5 days ago
CAFE - Collaborative Agents for Filtering E-mails
CAFE (Collaborative Agents for Filtering E-mails) is a multi-agent system to collaboratively filter spam from users’ mail stream. CAFE associates a proxy agent with each user, a...
Lorenzo Lazzari, Marco Mari, Agostino Poggi