Genetic algorithm with different feature selection techniques for anomaly detectors generation

@article{Aziz2013GeneticAW,
  title={Genetic algorithm with different feature selection techniques for anomaly detectors generation},
  author={Amira Sayed A. Aziz and Ahmad Taher Azar and Mostafa A. Salama and Aboul Ella Hassanien and Sanaa El-Ola Hanafi},
  journal={2013 Federated Conference on Computer Science and Information Systems},
  year={2013},
  pages={769-774}
}
Intrusion detection systems have been around for quite some time, to protect systems from inside ad outside threats. Researchers and scientists are concerned on how to enhance the intrusion detection performance, to be able to deal with real-time attacks and detect them fast from quick response. One way to improve performance is to use minimal number of features to define a model in a way that it can be used to accurately discriminate normal from anomalous behaviour. Many feature selection… CONTINUE READING
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