基于数据挖掘和LSTM的网络告警分析

Proceedings of the 2019 8th International Conference on Networks, Communication and Computing Pub Date : 2019-12-13 DOI:10.1145/3375998.3376023

Bin Lu

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引用次数: 0

摘要

网络报警越来越复杂，规模也在急剧增长。当设备产生根告警时，往往会触发大量冗余告警。传统的处理方式难以找到根源告警，难以过滤掉冗余告警。提出了一种基于数据挖掘和LSTM (long - short-term memory，长短期记忆)的分析方法来查找根源告警和过滤冗余告警。

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Network Alarm Analysis Based on Data Mining and LSTM

Network alarms are becoming more and more complex, and the scale is increasing sharply. When the root alarm is generated by the devices, a lot of redundant alarms are often triggered. The traditional processing mode is difficult to find the root alarm and filter out the redundant alarm. We provide a new analysis method based on data mining and long short-term memory(LSTM) to find the root alarm and to filter out the redundant alarm.

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Proceedings of the 2019 8th International Conference on Networks, Communication and Computing

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