A hybrid interpretable deep structure based on adaptive neuro-fuzzy inference system, decision tree, and K-means for intrusion detection

For generating an interpretable deep architecture for identifying deep intrusion patterns, this study proposes an approach that combines ANFIS (Adaptive Network-based Fuzzy Inference System) and DT (Decision Tree) for interpreting the deep pattern of intrusion detection. Meanwhile, for improving the...

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Detalles Bibliográficos
Autores principales: Liu, Jia, Yinchai, Wang, Siong, Teh Chee, Li, Xinjin, Zhao, Liping, Wei, Fengrui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715629/
https://www.ncbi.nlm.nih.gov/pubmed/36456582
http://dx.doi.org/10.1038/s41598-022-23765-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715629/
https://www.ncbi.nlm.nih.gov/pubmed/36456582
http://dx.doi.org/10.1038/s41598-022-23765-x

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