Targeting spam control on middleboxes: spam detection based on layer-3 e-mail content classification

This paper proposes a spam detection technique, at the packet level (layer 3), based on classification of e-mail contents. Our proposal targets spam control implementations on middleboxes. E-mails are first pre-classified (pre-detected) for spam on a per-packet basis. without the need for reassembly...

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Main Authors: Marsono, Muhammad N., El-Kharashi, M. Watheq, Gebali, Fayez
Format: Article
Published: Elsevier BV 2009
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Online Access:http://eprints.utm.my/id/eprint/13128/
http://dx.doi.org/10.1016/j.comnet.2008.11.012
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spelling my.utm.131282017-09-14T07:15:44Z http://eprints.utm.my/id/eprint/13128/ Targeting spam control on middleboxes: spam detection based on layer-3 e-mail content classification Marsono, Muhammad N. El-Kharashi, M. Watheq Gebali, Fayez TK Electrical engineering. Electronics Nuclear engineering This paper proposes a spam detection technique, at the packet level (layer 3), based on classification of e-mail contents. Our proposal targets spam control implementations on middleboxes. E-mails are first pre-classified (pre-detected) for spam on a per-packet basis. without the need for reassembly. This, in turn, allows fast e-mail class estimation (spam detection) at receiving e-mail servers to support more effective spam handling on both inbound and outbound (relayed) e-mails. In this paper, the naive Bayes classification technique is adapted to support both pre-classification and fast e-mail class estimation, on a per-packet basis. We focus on evaluating the accuracy of spam detection at layer 3, considering the constraints on processing byte-streams over the network, including packet reordering, fragmentation, overlapped bytes, and different packet sizes. Results show that the proposed layer-3 classification technique gives less than 0.5% false positive, which approximately equals the performance attained at layer 7. This shows that classifying e-mails at the packet level could differentiate non-spam from spam with high confidence for a viable spam control implementation on middleboxes. Elsevier BV 2009-04-23 Article PeerReviewed Marsono, Muhammad N. and El-Kharashi, M. Watheq and Gebali, Fayez (2009) Targeting spam control on middleboxes: spam detection based on layer-3 e-mail content classification. Computer Networks, 53 (6). 835 -848. ISSN 1389-1286 http://dx.doi.org/10.1016/j.comnet.2008.11.012
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Marsono, Muhammad N.
El-Kharashi, M. Watheq
Gebali, Fayez
Targeting spam control on middleboxes: spam detection based on layer-3 e-mail content classification
description This paper proposes a spam detection technique, at the packet level (layer 3), based on classification of e-mail contents. Our proposal targets spam control implementations on middleboxes. E-mails are first pre-classified (pre-detected) for spam on a per-packet basis. without the need for reassembly. This, in turn, allows fast e-mail class estimation (spam detection) at receiving e-mail servers to support more effective spam handling on both inbound and outbound (relayed) e-mails. In this paper, the naive Bayes classification technique is adapted to support both pre-classification and fast e-mail class estimation, on a per-packet basis. We focus on evaluating the accuracy of spam detection at layer 3, considering the constraints on processing byte-streams over the network, including packet reordering, fragmentation, overlapped bytes, and different packet sizes. Results show that the proposed layer-3 classification technique gives less than 0.5% false positive, which approximately equals the performance attained at layer 7. This shows that classifying e-mails at the packet level could differentiate non-spam from spam with high confidence for a viable spam control implementation on middleboxes.
format Article
author Marsono, Muhammad N.
El-Kharashi, M. Watheq
Gebali, Fayez
author_facet Marsono, Muhammad N.
El-Kharashi, M. Watheq
Gebali, Fayez
author_sort Marsono, Muhammad N.
title Targeting spam control on middleboxes: spam detection based on layer-3 e-mail content classification
title_short Targeting spam control on middleboxes: spam detection based on layer-3 e-mail content classification
title_full Targeting spam control on middleboxes: spam detection based on layer-3 e-mail content classification
title_fullStr Targeting spam control on middleboxes: spam detection based on layer-3 e-mail content classification
title_full_unstemmed Targeting spam control on middleboxes: spam detection based on layer-3 e-mail content classification
title_sort targeting spam control on middleboxes: spam detection based on layer-3 e-mail content classification
publisher Elsevier BV
publishDate 2009
url http://eprints.utm.my/id/eprint/13128/
http://dx.doi.org/10.1016/j.comnet.2008.11.012
_version_ 1643646124460867584
score 13.211869