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An improved density peaks clustering algorithm based on grid screening and mutual neighborhood degree for network anomaly detection
With the rapid development of network technologies and the increasing amount of network abnormal traffic, network anomaly detection presents challenges. Existing supervised methods cannot detect unknown attack, and unsupervised methods have low anomaly detection accuracy. Here, we propose a clusteri...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8792034/ https://www.ncbi.nlm.nih.gov/pubmed/35082307 http://dx.doi.org/10.1038/s41598-021-02038-z |