An back-propagation neural network is designed and implemented, which builds classification model by considering the behavior-based features revealed from e- ...
Feb 1, 2008 · We have presented in this paper a novel featuring method for spam filtering. Instead of classifying e-mails according to keywords, this study ...
An back-propagation neural network is designed and implemented, which builds classification model by considering the behavior-based features revealed from ...
In this paper, an back-propagation neural network is designed and implemented, which builds classification model by considering the behavior-based features ...
Feb 1, 2008 · Abstract Earlier works on detecting spam e-mails usually compare the contents of e-mails against specific keywords, which are not robust as ...
This paper presents a hybrid method of rule-based processing and back-propagation neural networks for spam filtering. Instead of using keywords, this study ...
Robust classification for spam filtering by back-propagation neural networks using behavior-based features.
a hybrid method of rule-based processing and back-propagation neural networks for spam filtering. Instead of using keywords, this study utilize the spamming ...
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Detection of Spam E-Mails by Analyzing the Distributing Behaviors ...
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A knowledge-based system that monitors the behaviors of e-mail servers for early alert of being spammed and can successfully identify spams is developed.
In [25], authors proposed a framework for spam filtering during Simple Mail Transfer Protocol (SMTP) transactions using the live spam beater (LiSB) method.
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