Optimising anti-spam filters with evolutionary algorithms

Authors:
Iryna Yevseyeva;Vitor Basto-Fernandes;David Ruano-OrdáS;José R. MéNdez
Affiliations:
University of Leiden, Leiden Institute for Advanced Computer Science, 2333 CA Leiden, Netherlands and Informatics Engineering Department, Technology and Management School, Polytechnic Institute of ...;Informatics Engineering Department, Technology and Management School, Polytechnic Institute of Leiria, 2411-901 Leiria, Portugal and Computer Science and Communications Research Center, Polytechni ...;University of Vigo, Campus As Lagoas S/N, 32004 Ourense, Spain;University of Vigo, Campus As Lagoas S/N, 32004 Ourense, Spain
Venue:
Expert Systems with Applications: An International Journal
Year:
2013

Citing 12
Cited 1

Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization

Proceedings of the 5th International Conference on Genetic Algorithms
Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study

PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
On the Performance Assessment and Comparison of Stochastic Multiobjective Optimizers

PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
Inferential Performance Assessment of Stochastic Optimisers and the Attainment Function

EMO '01 Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization
Logistic regression and artificial neural network classification models: a methodology review

Journal of Biomedical Informatics
Nature-Inspired Algorithms for Optimisation

Nature-Inspired Algorithms for Optimisation
jMetal: A Java framework for multi-objective optimization

Advances in Engineering Software
A fast and elitist multiobjective genetic algorithm: NSGA-II

IEEE Transactions on Evolutionary Computation
SDAI: An integral evaluation methodology for content-based spam filtering models

Expert Systems with Applications: An International Journal
Rough sets for spam filtering: Selecting appropriate decision rules for boundary e-mail classification

Applied Soft Computing
Optimization of Anti-Spam Systems with Multiobjective Evolutionary Algorithms

Information Resources Management Journal

Hybrid email spam detection model with negative selection algorithm and differential evolution

Engineering Applications of Artificial Intelligence

Quantified Score

Hi-index	12.05

Visualization

Abstract

This work is devoted to the problem of optimising scores for anti-spam filters, which is essential for the accuracy of any filter based anti-spam system, and is also one of the biggest challenges in this research area. In particular, this optimisation problem is considered from two different points of view: single and multiobjective problem formulations. Some of existing approaches within both formulations are surveyed, and their advantages and disadvantages are discussed. Two most popular evolutionary multiobjective algorithms and one single objective algorithm are adapted to optimisation of the anti-spam filters' scores and compared on publicly available datasets widely used for benchmarking purposes. This comparison is discussed, and the recommendations for the developers and users of optimising anti-spam filters are provided.