Improved Bayesian Anti-Spam Filter Implementation and Analysis on Independent Spam Corpuses

Issac, Biju, Jap, Wendy and Sutanto, Jofry (2009) Improved Bayesian Anti-Spam Filter Implementation and Analysis on Independent Spam Corpuses. In: 2009 International Conference on Computer Engineering and Technology. IEEE, pp. 326-330. ISBN 978-0-7695-3521-0

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Abstract

Spam emails are causing major resource wastage by unnecessarily flooding the network links. Though many anti-spam solutions have been implemented, the Bayesian spam score approach looks quite promising. A proposal for spam detection algorithm is presented and its implementation using Java is discussed, along with its performance test results on two independent spam corpuses - Ling-spam and Enron-spam. We use the Bayesian calculation for single keyword sets and multiple keywords sets, along with its keyword contexts to improve the spam detection and thus to get good accuracy.

Item Type:	Book Section
Subjects:	G400 Computer Science
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Becky Skoyles
Date Deposited:	03 Oct 2018 07:25
Last Modified:	11 Oct 2019 19:01
URI:	http://nrl.northumbria.ac.uk/id/eprint/36018

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