IMPROVING THE PERFORMANCE OF ANTI-SPAM FILTERS USING OUT-OF-VOCABULARY STATISTICS MEJORA DEL DESEMPEÑO DE FILTROS ANTI-SPAM USANDO ESTADÍSTICAS DE PALABRAS FUERA DE VOCABULARIO

IMPROVING THE PERFORMANCE OF ANTI-SPAM FILTERS USING OUT-OF-VOCABULARY STATISTICS MEJORA DEL DESEMPEÑO DE FILTROS ANTI-SPAM USANDO ESTADÍSTICAS DE PALABRAS FUERA DE VOCABULARIO

This paper presents a feature based on out-of-vocabulary word statistics that complements the information sources used in the decision by state-of-the-art spam filters. The experiments included freely available spam filters as reference, SpamAssassin, Bogofilter, SpamBayes and SpamProbe, as well as...

Full description

Bibliographic Details
Main Authors: Pablo Daniel Agüero, Jorge Castiñeira Moreira, Monica Liberatori, Juan Carlos Bonadero, Juan Carlos Tulli
Format: Article
Language:English
Published: Universidad de Tarapacá 2009-12-01
Series:Ingeniare: Revista Chilena de Ingeniería
Subjects:
Spam
filtrado
palabras desconocidas
filtering
out-of-vocabulary
Online Access:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052009000300012

Internet

http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052009000300012

Similar Items