An efficient intrusion detection system based on hypergraph - Genetic algorithm for parameter optimization and feature selection in support vector machine

@article{Raman2017AnEI,
  title={An efficient intrusion detection system based on hypergraph - Genetic algorithm for parameter optimization and feature selection in support vector machine},
  author={M. R. Gauthama Raman and Nivethitha Somu and Kirthivasan Kannan and Ramiro Liscano and V. S. Shankar Sriram},
  journal={Knowl.-Based Syst.},
  year={2017},
  volume={134},
  pages={1-12}
}
Abstract Realization of the importance for advanced tool and techniques to secure the network infrastructure from the security risks has led to the development of many machine learning based intrusion detection techniques. However, the benefits and limitations of these techniques make the development of an efficient Intrusion Detection System (IDS), an open challenge. This paper presents an adaptive, and a robust intrusion detection technique using Hypergraph based Genetic Algorithm (HG - GA… CONTINUE READING

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