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Malicious Network Traffic Detection Based on Deep Neural Networks and Association Analysis
Anomaly detection systems can accurately identify malicious network traffic, providing network security. With the development of internet technology, network attacks are becoming more and more sourced and complicated, making it difficult for traditional anomaly detection systems to effectively analy...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085765/ https://www.ncbi.nlm.nih.gov/pubmed/32155834 http://dx.doi.org/10.3390/s20051452 |