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Network Intrusion Detection Based on a General Regression Neural Network Optimized by an Improved Artificial Immune Algorithm
To effectively and accurately detect and classify network intrusion data, this paper introduces a general regression neural network (GRNN) based on the artificial immune algorithm with elitist strategies (AIAE). The elitist archive and elitist crossover were combined with the artificial immune algor...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4373783/ https://ncbi.nlm.nih.gov/pubmed/25807466 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0120976 |
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