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System anomaly detection method, device and equipment and storage medium

An anomaly detection and anomaly technology, applied in error detection/correction, instrumentation, electrical digital data processing, etc., can solve the problem of difficulty in abnormal detection of intelligent operation system

Active Publication Date: 2020-10-16
PING AN TECH (SHENZHEN) CO LTD
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Problems solved by technology

[0004] The main purpose of the present invention is to solve the problem that the abnormality detection of the intelligent operation system is difficult

Method used

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  • System anomaly detection method, device and equipment and storage medium
  • System anomaly detection method, device and equipment and storage medium
  • System anomaly detection method, device and equipment and storage medium

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Embodiment Construction

[0078] The embodiment of the present invention provides a system abnormality detection method, device, equipment and storage medium, including obtaining the marked log, unmarked log and extended log of the system to be detected and inputting them into three identical abnormal level training models in the abnormal level training model set Training in , output the probability distribution of each abnormal level of the three; then calculate the cross entropy loss and consistency loss output by the abnormal level training model; then predict the abnormal level of the unmarked log and the extended log according to the consistency loss, and according to the cross entropy loss The entropy loss iterates the abnormal level training model set until the abnormal level training model set converges to obtain a log anomaly detection model; finally, the abnormal log in system operation is detected by the log anomaly detection model. Optimize the model training method, prevent the model from o...

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Abstract

The invention relates to artificial intelligence, and provides a system anomaly detection method and device, equipment and a storage medium. The method comprises the steps of respectively inputting amarked log, an unmarked log and an extended log of a to-be-detected system into three same training models in a training model set for training, and outputting probability distribution of abnormal levels of the three training models; calculating cross entropy loss and consistency loss output by the training models; predicting abnormal levels of the unmarked log and the expanded log according to the consistency loss, and iterating the training model set according to the cross entropy loss until the training model set converges to obtain a log anomaly detection model; and finally, detecting an abnormal log in system operation through the log anomaly detection model. In addition, the invention further relates to a blockchain technology, and the marked log, the unmarked log and the extended log can be stored in the blockchain. By optimizing a model training mode, model over-fitting is prevented, and the detection difficulty of the detection model on abnormal points in a system is reduced.

Description

technical field [0001] The invention relates to artificial intelligence decision-making, in particular to a system abnormality detection method, device, equipment and storage medium. Background technique [0002] As the scale of the system increases, the complexity increases, and the monitoring coverage improves, the amount of monitoring data increases, and operation and maintenance personnel cannot find quality problems from the massive monitoring data. Intelligent anomaly detection is to automatically, real-time, and accurately find anomalies from monitoring data through AI algorithms, and provide a basis for subsequent diagnosis and self-healing. Anomaly detection is a very basic but very important function in the AIOps (Algorithmic IT Operations, intelligent operation) system. It mainly uses algorithms and models to automatically mine and discover abnormal behaviors in KPI time series data for subsequent alarms. Automatic stop loss, root cause analysis, etc. provide the...

Claims

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Application Information

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IPC IPC(8): G06F11/30G06F11/34
CPCG06F11/3065G06F11/3452
Inventor 邓悦郑立颖徐亮
Owner PING AN TECH (SHENZHEN) CO LTD
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