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Anomaly detection method and device

An anomaly detection and anomaly technology, applied in the computer field, can solve problems such as inability to detect network anomalies, and achieve the effect of solving anomaly detection and accurately detecting abnormal behaviors

Active Publication Date: 2020-10-16
北京志翔科技股份有限公司
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Problems solved by technology

[0004] The present invention provides an anomaly detection method and device to solve the problem in the prior art that the anomaly detection of the network cannot be effectively performed

Method used

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  • Anomaly detection method and device
  • Anomaly detection method and device

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Embodiment Construction

[0024] The embodiment of the present invention aims at the problem that the abnormality detection of the network cannot be effectively performed in the prior art, by comprehensively obtaining the comprehensive log data of the network, and realizing the accurate detection of the abnormal behavior of the network through the abnormality detection model after continuous evolution learning, Then, the problem in the prior art that anomaly detection cannot be effectively performed on the network is effectively solved. The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0025] The first embodiment of the present invention provides an anomaly detection method, see figure 1 , the method includes:

[0026] S101. Analyze the acquired log data, extract features ...

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Abstract

The invention discloses an anomaly detection method and device. According to the invention, comprehensive log data are comprehensively obtained; features are extracted from the acquired log data; thefeature is processed, and an anomaly detection model is trained and generated through an SVM algorithm based on the processed feature; the abnormal behavior is automatically detected through the anomaly detection model; meanwhile, the detection result is used for further training an anomaly detection model and a more accurate model is obtained; finally, the abnormal behaviors are detected. Therefore, the network anomaly detection method is based on comprehensive log data, anomaly detection is carried out on the network through the anomaly detection model after continuous evolution learning, sothat the abnormal behaviors are accurately detected, and the problem that anomaly detection cannot be effectively carried out on the network in the prior art is effectively solved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to an abnormality detection method and device. Background technique [0002] With the continuous development of the network, in the era of information explosion, we are faced with a serious problem, that is, how to maintain network security. The detection of network abnormal behavior can better solve this problem, that is, the abnormal behavior can be detected by recording the log of system runtime information. Anomaly detection aims to discover abnormal behaviors in real time, so that developers can discover and solve problems in time, reducing system downtime or reducing the losses that will be caused. [0003] But at present, developers basically check logs manually by searching for keywords and matching predefined rules. However, due to the large-scale and parallel nature of the system, the system behavior becomes complicated, and developers are usually only familiar with a ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/30G06F11/32G06K9/62
CPCG06F11/3065G06F11/327G06F18/2411
Inventor 薛野王雪松严朝豪宋洋孙凯巩国栋
Owner 北京志翔科技股份有限公司
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