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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Detalles Bibliográficos
Autores principales: Gao, Minghui, Ma, Li, Liu, Heng, Zhang, Zhijun, Ning, Zhiyan, Xu, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085765/
https://www.ncbi.nlm.nih.gov/pubmed/32155834
http://dx.doi.org/10.3390/s20051452

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