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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...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7085765/ https://ncbi.nlm.nih.gov/pubmed/32155834 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20051452 |
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