Hybrid Neural Network Intrusion Detection System Using Genetic Algorithm

@article{Li2010HybridNN,
  title={Hybrid Neural Network Intrusion Detection System Using Genetic Algorithm},
  author={Fan Li},
  journal={2010 International Conference on Multimedia Technology},
  year={2010},
  pages={1-4}
}
  • Fan Li
  • Published 2010 in
    2010 International Conference on Multimedia…
In this paper, we introduce an Intrusion Detection system (IDS) based Hybrid Evolutionary Neural Network (HENN). A brief overview of IDS, genetic algorithm, and related detection techniques are discussed. The system architecture is also introduced. Factors affecting the genetic algorithm are addressed in detail. Unlike other implementations of IDS, Input features, network structure and connection weights are evolved using genetic algorithm in HENN. This is helpful for identification of complex… CONTINUE READING

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References

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Intrusion detection using neural networks and support vector machine

  • Srinivas Mukkamala
  • Proceedings of the 2002 IEEE International…
  • 2002
1 Excerpt

Heinbuch, “Training a Neural-Network Based Intrusion Detector to Recognize Novel Attacks

  • D.V.S.C. Lee
  • IEEE Transactions on Systems, Man and Cybernetics…
  • 2001
1 Excerpt

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