Model for optimising the execution of anti-spam filters

During last years, the combination of several filtering techniques for the development of anti-spam systems has gained a enormous popularity. However, although the accuracy achieved by these models has increased considerably, its use has entailed the emergence of new challenges such as the need to r...

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Bibliographic Details
Main Author: David Ruano-Ordás
Format: Article
Language:English
Published: Asociación Española para la Inteligencia Artificial 2016-12-01
Series:Inteligencia Artificial
Online Access:http://journal.iberamia.org/index.php/intartif/article/view/38
Description
Summary:During last years, the combination of several filtering techniques for the development of anti-spam systems has gained a enormous popularity. However, although the accuracy achieved by these models has increased considerably, its use has entailed the emergence of new challenges such as the need to reduce the excessive use of computational resources, the increase of filtering speed and the adjustment of the weights used for the combination of several filtering techniques. In order to achieve this goal we have been refined several aspects including: (i) the design and development of small technical improvements to increase the overall performance of the filter, (ii) application of genetic algorithms to increase filtering accuracy and (iii) the use of scheduling algorithms to improve filtering throughput.
ISSN:1137-3601
1988-3064