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Distance-based numerical distribution anomaly detection method and detection system

An anomaly detection and numerical technology, applied in error detection/correction, digital data protection, electrical digital data processing, etc., can solve problems such as inaccurate single-dimensional data detection, and achieve the effect of reducing false positives

Pending Publication Date: 2021-03-09
SHANGHAI GUAN AN INFORMATION TECH
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  • Description
  • Claims
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Problems solved by technology

Abnormal points are obtained by the deviation between the sample points in the peer group and other sample points, but there is still the problem of inaccurate detection of single-dimensional data

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  • Distance-based numerical distribution anomaly detection method and detection system
  • Distance-based numerical distribution anomaly detection method and detection system
  • Distance-based numerical distribution anomaly detection method and detection system

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Embodiment Construction

[0045] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Obviously, the described embodiments are part of the present invention Examples, not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0046] This embodiment provides a distance-based numerical distribution anomaly detection method, such as figure 1 shown, including the following steps:

[0047] Step 1: Data Extraction

[0048] Extract standardized business data tables within a specified time period (day / month) as analysis data.

[0049] Step 2: Statistics

[0050] Sort and analyze the business objects of th...

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Abstract

The invention provides a distance-based numerical distribution anomaly detection method, and belongs to the technical field of computer data safety. For the data set, the distance obtained through calculation before duplicate removal is the distribution condition of each data object of the whole array, the data numerical value distribution characteristic is embodied, and the distance obtained through calculation after duplicate removal embodies the data numerical value distribution breadth. According to the method, the numerical value distances before and after duplicate removal are calculatedrespectively, and the overall distribution of the numerical values in the array is combined with the concentration degree of the numerical values in the array, so that not only can a low-frequency abnormal value or an isolated value be detected, but also common high-frequency behaviors can be detected, and misinformation of a common single-dimensional anomaly detection algorithm can be reduced.

Description

technical field [0001] The invention relates to the technical field of computer data security, in particular to a distance-based numerical distribution anomaly detection method and detection system. Background technique [0002] In a traditional monitoring system that monitors data (eg, indicators), engineers or experts can configure abnormal thresholds for some indicators, and the system triggers an alarm when the data exceeds the threshold. However, if a certain indicator is not covered by monitoring (whether it is a system or a person), then it may behave abnormally and no one will know, which may cause unexpected problems or failures. In addition, many problems cannot be solved by manually setting thresholds, especially when monitoring ultra-large-scale performance indicators, it is difficult to rely on manual configuration to complete the monitoring. As application requirements and scenarios change, data anomaly detection methods also need to be continuously updated an...

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Application Information

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IPC IPC(8): G06K9/62G06F21/62G06F11/34
CPCG06F21/6227G06F11/3409G06F18/2413Y04S10/50
Inventor 殷钱安陶景龙梁淑云刘胜马影王启凡魏国富余贤喆周晓勇
Owner SHANGHAI GUAN AN INFORMATION TECH