Feature Selection for Robust Detection of Distributed Denial-of-Service Attacks Using Genetic Algorithms

@inproceedings{Gavrilis2004FeatureSF,
  title={Feature Selection for Robust Detection of Distributed Denial-of-Service Attacks Using Genetic Algorithms},
  author={Dimitris Gavrilis and Ioannis G. Tsoulos and Evangelos Dermatas},
  booktitle={SETN},
  year={2004}
}
In this paper we present a robust neural network detector for Distributed Denial-of-Service (DDoS) attacks in computers providing Internet services. A genetic algorithm is used to select a small number of efficient features from an extended set of 44 statistical features, which are estimated only from the packet headers. The genetic evaluation produces an error-free neural network DDoS detector using only 14 features. Moreover, the experimental results showed that the features that best qualify… CONTINUE READING

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