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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 219))

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Abstract

In the face of the growing network security, intrusion detection system, and the traditional shortcomings of more and more prominent. It is the false alarm rate, missed alarm rate, and the problem of poor real-time has not been resolved. In this paper, the lack of it, will make a concerted genetic algorithm combined with intrusion detection systems, designed a co-evolutionary genetic algorithm-based intrusion detection system model, it is great to make up for the lack of intrusion detection system now. I use a specific simulation experiments show the usefulness of this model in the final.

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References

  1. Zhang M, Wang F-W, Zhang Y, Ma J (2004) Coevolutionary genetic algorithm and its application, vol 25. Computer Engineering, Beijing, pp 462–467

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Correspondence to Zongjiang Wang .

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© 2013 Springer-Verlag London

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Wang, Z., Li, X. (2013). Intrusion Detection System Model Based on CGA. In: Zhong, Z. (eds) Proceedings of the International Conference on Information Engineering and Applications (IEA) 2012. Lecture Notes in Electrical Engineering, vol 219. Springer, London. https://doi.org/10.1007/978-1-4471-4853-1_41

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  • DOI: https://doi.org/10.1007/978-1-4471-4853-1_41

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4852-4

  • Online ISBN: 978-1-4471-4853-1

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