An E-mail filtering approach using classification techniques

Bahgat E., Rady S., Gad, Walaa,

Abstract


© Springer International Publishing Switzerland 2016. E-mail is one of the most popular ways of communication due to its accessibility, low sending cost and fast message transfer. However, Spam emails appear as a severe problem affecting this application of today’s Internet. Filtering is an important approach to isolate those spam emails. In this paper, an approach for filtering spam email is proposed, which is based on classification techniques. The approach analyses the body of Email messages and assigns weights to terms (features) that can help identifying spam and clean (ham) emails. An adaptation is proposed that tries to reduce the dimensionality of the extracted features, in which only determined (meaningful) terms are regarded by consulting a dictionary. A thorough comparative study has been studied among different classification algorithms that prove the efficiency of the filtering approach proposed. The approach has been evaluated using Enron dataset.


Other data

Title An E-mail filtering approach using classification techniques
Authors Bahgat E. ; Rady S. ; Gad, Walaa 
Issue Date 1-Jan-2016
Journal Advances in Intelligent Systems and Computing 
URI http://research.asu.edu.eg/handle/123456789/168290
ISBN 9783319266886
DOI https://api.elsevier.com/content/abstract/scopus_id/84951960978
321
407
10.1007/978-3-319-26690-9_29

Recommend this item
Citations 8 in scopus
Page have 21 view


Items in Ain Shams Scholar are protected by copyright, with all rights reserved, unless otherwise indicated.