Data anomaly detection method and device
A detection method and data anomaly technology, applied in the field of financial technology, can solve the problem of low accuracy of original operation and maintenance data anomaly detection
Pending Publication Date: 2022-04-08
WEBANK (CHINA)
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[0006] The embodiment of the present invention provides a data anomaly detection method and device to solve the problem of low accuracy of original operation and maintenance data anomaly detection of application examples in the prior art
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[0091] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some of the embodiments of the present invention, rather than all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0092] figure 1 A system architecture provided for an embodiment of the present invention. Such as figure 1 As shown, the system architecture may be a server 100 including a processor 110 , a communication interface 120 and a memory 130 .
[0093] Wherein, the communication interface 120 is used to communicate with the terminal equipment, send and receive information transmitted by the terminal equipment, and realize communication.
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The embodiment of the invention provides a data anomaly detection method and device. The method comprises the steps of obtaining original operation and maintenance data at the current moment; the original operation and maintenance data comprises data of a plurality of operation and maintenance indexes, and inputting the original operation and maintenance data into the anomaly detection model to obtain reconstruction data corresponding to the original operation and maintenance data; the anomaly detection model is obtained by training a VAE-GAN model according to historical normal operation and maintenance data, and then calculating a reconstruction error between reconstruction data corresponding to the original operation and maintenance data and the original operation and maintenance data; and according to the reconstruction error, determining an abnormal index in the original operation and maintenance data. Therefore, the multi-dimensional operation and maintenance indexes can be detected by adopting one model, and the abnormal indexes in the original operation and maintenance data can be identified in real time, so that the problem that application instance abnormity is judged only according to the abnormity of a certain dimension index can be avoided, and the accuracy of detecting the abnormity of the original operation and maintenance data of the application instance can be improved.
Description
technical field [0001] Embodiments of the present invention relate to the field of financial technology (Finteh), and in particular, to a data anomaly detection method and device. Background technique [0002] With the development of computer technology, more and more technologies are applied in the financial field, and the traditional financial industry is gradually transforming into financial technology (Fintech). However, due to the security and real-time requirements of the financial industry, technology higher requirements. [0003] With the rise of microservice applications and the development of distributed architecture, the scale of subsystems and the complexity of system calls continue to increase. At present, the maintenance cost of application instances in the field of IT operation and maintenance is getting higher and higher, and one of the core issues in the operation and maintenance of application instances is to pay attention to whether the indicators of the ...
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IPC IPC(8): G06F30/27G06F119/02
CPCG06F30/27G06F2119/02
Inventor 梁永富熊刚江旻
Owner WEBANK (CHINA)