Detection and quantification of anomalies in communication networks based on LSTM-ARIMA combined model

The anomaly detection for communication networks is significant for improve the quality of communication services and network reliability. However, traditional communication monitoring methods lack proactive monitoring and real-time alerts and the prediction effect of a single machine learning model...

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Detalles Bibliográficos
Autores principales: Xue, Sheng, Chen, Hualiang, Zheng, Xiaoliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205417/
https://www.ncbi.nlm.nih.gov/pubmed/35755890
http://dx.doi.org/10.1007/s13042-022-01586-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205417/
https://www.ncbi.nlm.nih.gov/pubmed/35755890
http://dx.doi.org/10.1007/s13042-022-01586-8

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