Spam Filtering With Dynamically Updated URL Statistics.

Many URL-based spam filters rely on "white" and "black" lists to classify email. The authors' proposed URL-based spam filter instead analyzes URL statistics to dynamically calculate the probabilities of whether email with specific URLs are spam or legitimate, and then classi...

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Dades bibliogràfiques
Publicat a:IEEE Security and privacy : building confidence in a networked world 5, 4 (2007).
Autor principal: Jangbok Kim
Format: Article
Idioma:English
Matèries: