Performance analysis of server-side spam control strategies based on layer-3 classification

Two server-side e-mail service strategies that utilize a layer-3 e-mail classification technique are presented. Based on layer-3 classification scores, the class of an e-mail can be estimated with minimal processing during normal reassembly on e-mail servers with a high accuracy. Non-spam e-mails ar...

Full description

Saved in:
Bibliographic Details
Main Authors: Marsono, M. N., El-Kharashi, M. W., Gebali, F.
Format: Article
Language:English
Published: 2007
Subjects:
Online Access:http://eprints.utm.my/id/eprint/9652/1/MuhammadNadzirMarsono2007_PerformanceAnalysisOfServerSide.pdf
http://eprints.utm.my/id/eprint/9652/
http://dx.doi.org/10.1109/CCECE.2007.95
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Teknologi Malaysia
Language: English
id my.utm.9652
record_format eprints
spelling my.utm.96522010-06-02T02:02:17Z http://eprints.utm.my/id/eprint/9652/ Performance analysis of server-side spam control strategies based on layer-3 classification Marsono, M. N. El-Kharashi, M. W. Gebali, F. TK Electrical engineering. Electronics Nuclear engineering Two server-side e-mail service strategies that utilize a layer-3 e-mail classification technique are presented. Based on layer-3 classification scores, the class of an e-mail can be estimated with minimal processing during normal reassembly on e-mail servers with a high accuracy. Non-spam e-mails are queued in a fast queue, whereas spam e-mails are queued in a slower queue. The non-spam queue is served with higher service capacity than the spam one. Two e-mail service strategies are analyzed using a priority queue model. The first service strategy assigns fixed service capacities to both queues. The second service strategy serves the spam queue based on the occupancies of both queues. We model these two strategies using discrete-time Markov chain analysis. The behavior and performance of the proposed service strategies are analyzed under different e-mail traffic loads. Our models show that non-spam e-mails can be delivered under small delay, as compared to the current strategy that uses a single queue approach. The proposed strategies exhibit delay and loss probability orders of magnitude smaller than the ones for the single queue approach, even under heavy e-mail loading and high spam to non-spam prior. Servicing e-mails by predicting an e-mail's class has two-fold advantages. First speeding up non-spam e-mail services and delivery at the expense of longer spam queuing delay, and second protecting e-mail servers in the events of spam attacks and high e-mail traffic. 2007 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/9652/1/MuhammadNadzirMarsono2007_PerformanceAnalysisOfServerSide.pdf Marsono, M. N. and El-Kharashi, M. W. and Gebali, F. (2007) Performance analysis of server-side spam control strategies based on layer-3 classification. Canadian Conference on Electrical and Computer Engineering (Articl). pp. 349-352. http://dx.doi.org/10.1109/CCECE.2007.95 doi : 10.1109/CCECE.2007.95
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/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Marsono, M. N.
El-Kharashi, M. W.
Gebali, F.
Performance analysis of server-side spam control strategies based on layer-3 classification
description Two server-side e-mail service strategies that utilize a layer-3 e-mail classification technique are presented. Based on layer-3 classification scores, the class of an e-mail can be estimated with minimal processing during normal reassembly on e-mail servers with a high accuracy. Non-spam e-mails are queued in a fast queue, whereas spam e-mails are queued in a slower queue. The non-spam queue is served with higher service capacity than the spam one. Two e-mail service strategies are analyzed using a priority queue model. The first service strategy assigns fixed service capacities to both queues. The second service strategy serves the spam queue based on the occupancies of both queues. We model these two strategies using discrete-time Markov chain analysis. The behavior and performance of the proposed service strategies are analyzed under different e-mail traffic loads. Our models show that non-spam e-mails can be delivered under small delay, as compared to the current strategy that uses a single queue approach. The proposed strategies exhibit delay and loss probability orders of magnitude smaller than the ones for the single queue approach, even under heavy e-mail loading and high spam to non-spam prior. Servicing e-mails by predicting an e-mail's class has two-fold advantages. First speeding up non-spam e-mail services and delivery at the expense of longer spam queuing delay, and second protecting e-mail servers in the events of spam attacks and high e-mail traffic.
format Article
author Marsono, M. N.
El-Kharashi, M. W.
Gebali, F.
author_facet Marsono, M. N.
El-Kharashi, M. W.
Gebali, F.
author_sort Marsono, M. N.
title Performance analysis of server-side spam control strategies based on layer-3 classification
title_short Performance analysis of server-side spam control strategies based on layer-3 classification
title_full Performance analysis of server-side spam control strategies based on layer-3 classification
title_fullStr Performance analysis of server-side spam control strategies based on layer-3 classification
title_full_unstemmed Performance analysis of server-side spam control strategies based on layer-3 classification
title_sort performance analysis of server-side spam control strategies based on layer-3 classification
publishDate 2007
url http://eprints.utm.my/id/eprint/9652/1/MuhammadNadzirMarsono2007_PerformanceAnalysisOfServerSide.pdf
http://eprints.utm.my/id/eprint/9652/
http://dx.doi.org/10.1109/CCECE.2007.95
_version_ 1643645216802996224