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Combining visual and textual features for filtering spam emails

Conference Paper
Publication Date:
2008
abstract:
The presence of spam can seriously compromise normal user activities, forcing them to navigate through mailboxes to find the - relatively few - interesting emails. Even if a quite huge variety of spam filters has been developed until now, this problem is far to be resolved since spammers continuously modify their malicious techniques in order to bypass filters.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Spam emails; classifier ensembles; visual feature
List of contributors:
Gargiulo, Francesco
Authors of the University:
GARGIULO FRANCESCO
Handle:
https://iris.cnr.it/handle/20.500.14243/319345
Published in:
INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION
Series
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