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DOC-IDS: A Deep Learning-Based Method for Feature Extraction and Anomaly Detection in Network Traffic
With the growing diversity of cyberattacks in recent years, anomaly-based intrusion detection systems that can detect unknown attacks have attracted significant attention. Furthermore, a wide range of studies on anomaly detection using machine learning and deep learning methods have been conducted....
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9227447/ https://www.ncbi.nlm.nih.gov/pubmed/35746191 http://dx.doi.org/10.3390/s22124405 |