Evolutionary Symbiotic Feature Selection for Email Spam Detection

Paulo Cortez, Rui Vaz, Miguel Rocha, Miguel Rio, Pedro Sousa

2012

Abstract

This work presents a symbiotic filtering approach enabling the exchange of relevant word features among different users in order to improve local anti-spam filters. The local spam filtering is based on a Content-Based Filtering strategy, where word frequencies are fed into a Naive Bayes learner. Several Evolutionary Algorithms are explored for feature selection, including the proposed symbiotic exchange of the most relevant features among different users. The experiments were conducted using a novel corpus based on the well known Enron datasets mixed with recent spam. The obtained results show that the symbiotic approach is competitive.

Paper Citation

in Harvard Style

Cortez P., Vaz R., Rocha M., Rio M. and Sousa P. (2012). Evolutionary Symbiotic Feature Selection for Email Spam Detection . In Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-8565-21-1, pages 159-164. DOI: 10.5220/0004010201590164

in Bibtex Style

@conference{icinco12,
author={Paulo Cortez and Rui Vaz and Miguel Rocha and Miguel Rio and Pedro Sousa},
title={Evolutionary Symbiotic Feature Selection for Email Spam Detection},
booktitle={Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2012},
pages={159-164},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004010201590164},
isbn={978-989-8565-21-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Evolutionary Symbiotic Feature Selection for Email Spam Detection
SN - 978-989-8565-21-1
AU - Cortez P.
AU - Vaz R.
AU - Rocha M.
AU - Rio M.
AU - Sousa P.
PY - 2012
SP - 159
EP - 164
DO - 10.5220/0004010201590164