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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wu, Jianfa, Peng, Dahao, Li, Zhuping, Zhao, Li, Ling, Huanzhang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4373783/
https://www.ncbi.nlm.nih.gov/pubmed/25807466
http://dx.doi.org/10.1371/journal.pone.0120976

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4373783/
https://www.ncbi.nlm.nih.gov/pubmed/25807466
http://dx.doi.org/10.1371/journal.pone.0120976

Ejemplares similares