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Anomaly traffic detection based on feature fluctuation for secure industrial internet of things
The detection of anomaly traffic in internet of things (IoT) is mainly based on the original binary data at the traffic packet level and the structured data at the session flow level. This kind of dataset has a single feature extraction method and relies on prior manual knowledge. It is easy to lose...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131526/ https://www.ncbi.nlm.nih.gov/pubmed/37362098 http://dx.doi.org/10.1007/s12083-023-01482-0 |