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International Conference on Security and Privacy in Communication Systems

SecureComm 2016: Security and Privacy in Communication Networks pp 334–349Cite as

A Multi-layer Model to Detect Spam Email at Client Side

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Abstract

A solution to spam emails remains elusive despite over a decade long research efforts on spam filtering. Among different spam detection mechanisms that have been proposed, Naïve Bayesian Content Filtering has been very popular and has attained a reasonable level of success. SpamBayes is one such content filtering spam detection tool based on Naïve Bayesian classification using textual features. It is easy to deceive the learning techniques focusing only on textual attributes. Hence, in this paper we propose a multi-layer model that imposes, on top of SpamBayes, a second layer of non-textual filtering that exploits alternative machine learning techniques. This multi-layer model improves the accuracy of classification and eliminates the grey email into spam and ham emails. The experimental results of this model are quite encouraging.

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Notes

  1. 1.

    http://spambayes.sourceforge.net.

  2. 2.

    http://www.csmining.org/index.php/spam-email-datasets-.html.

  3. 3.

    http://plg.uwaterloo.ca/~gvcormac/treccorpus07/.

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Author information

Authors and Affiliations

  1. School of Computing, Engineering and Mathematics, Western Sydney University, Parramatta, Australia

    Kamini (Simi) Bajaj

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  1. Kamini (Simi) Bajaj
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Correspondence to Kamini (Simi) Bajaj .

Editor information

Editors and Affiliations

  1. Singapore Management University, Singapore, Singapore

    Robert Deng

  2. Jinan University, Guangzhou, Guangdong, China

    Jian Weng

  3. University at Buffalo, Buffalo, New York, USA

    Kui Ren

  4. SRI International, Menlo Park, California, USA

    Vinod Yegneswaran

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Bajaj, K.(. (2017). A Multi-layer Model to Detect Spam Email at Client Side. In: Deng, R., Weng, J., Ren, K., Yegneswaran, V. (eds) Security and Privacy in Communication Networks. SecureComm 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 198. Springer, Cham. https://doi.org/10.1007/978-3-319-59608-2_20

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  • DOI: https://doi.org/10.1007/978-3-319-59608-2_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59607-5

  • Online ISBN: 978-3-319-59608-2

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