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Infrequent Pattern Detection for Reliable Network Traffic Analysis Using Robust Evolutionary Computation
While anomaly detection is very important in many domains, such as in cybersecurity, there are many rare anomalies or infrequent patterns in cybersecurity datasets. Detection of infrequent patterns is computationally expensive. Cybersecurity datasets consist of many features, mostly irrelevant, resu...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8123319/ https://www.ncbi.nlm.nih.gov/pubmed/33922954 http://dx.doi.org/10.3390/s21093005 |