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Crosbie and Spafford did work with this approach back in 1995. When used for IDSs, genetic algorithms work by means of a rough set theory where the resulting dataset is used as the inputs for the neural network. I would suggest that you review some of work that has been done in this area to help you with your development. A few links are provided here:
This was first published in October 2008
Network Management Strategies for the CIO

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