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Lookup NU author(s): Dr Iryna Yevseyeva
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
This work presents a conceptual proposal to address the problem of intensive human specialized resources that are nowadays required for the maintenance and optimized operation of digital contents filtering in general and anti-spam filtering in particular. The huge amount of spam, malware, virus, and other illegitimate digital contents distributed through network services, represents a considerable waste of physical and technical resources, experts and end users time, in continuous maintenance of anti-spam filters and deletion of spam messages, respectively. The problem of cumbersome and continuous maintenance required to keep anti-spam filtering systems updated and running in an efficient way, is addressed in this work by the means of genetic programming grammatical evolution techniques, for automatic rules generation, having SpamAssassin anti-spam system and SpamAssassin public corpus as the references for the automatic filtering customization. (C) 2014 The Authors. Published by Elsevier Ltd.
Author(s): Basto-Fernandes V, Yevseyeva I, Frantz RZ, Grilo C, Diaz NP, Emmerich M
Editor(s): João Varajão, Manuela Cunha, Niels Bjørn-Andersen, Rodney Turner, Duminda Wijesekera, Ricardo Martinho, Rui Rijo
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: CENTERIS 2014 / ProjMAN 2014 / HCIST 2014
Year of Conference: 2014
Pages: 806-812
Online publication date: 11/11/2014
Acceptance date: 01/01/1900
Date deposited: 31/07/2019
ISSN: 2212-0173
Publisher: Elsevier BV
URL: https://doi.org/10.1016/j.protcy.2014.10.030
DOI: 10.1016/j.protcy.2014.10.030
Series Title: Procedia Technology
