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CEAS
2004
Springer
14 years 29 days ago
Filtron: A Learning-Based Anti-Spam Filter
Abstract. We present Filtron, a prototype anti-spam filter that integrates the main empirical conclusions of our comprehensive analysis on using machine learning to construct eff...
Eirinaios Michelakis, Ion Androutsopoulos, Georgio...
IDA
2007
Springer
13 years 7 months ago
An evaluation of Naive Bayes variants in content-based learning for spam filtering
We describe an in-depth analysis of spam-filtering performance of a simple Naive Bayes learner and two extended variants. A set of seven mailboxes comprising about 65,000 mails f...
Alexander K. Seewald
ELPUB
2007
ACM
13 years 11 months ago
The Fight against Spam - A Machine Learning Approach
The paper presents a brief survey of the fight between spammers and antispam software developers, and also describes new approaches to spam filtering. In the first two sections we...
Karel Jezek, Jiri Hynek
ICC
2009
IEEE
13 years 5 months ago
Simulation of SPIT Filtering: Quantitative Evaluation of Parameter Tuning
A future where Internet Telephony will constitute a target valuable to attack is not so unrealistic. E-mail spam botnets software can be updated to send voice spam (commonly referr...
Federico Menna, Renato Lo Cigno, Saverio Niccolini...
CEAS
2004
Springer
14 years 29 days ago
Reputation Network Analysis for Email Filtering
In addition to traditional spam detection applications, new methods of filtering messages – including whitelist and social network based filters – are being investigated to fur...
Jennifer Golbeck, James A. Hendler