Anomaly detection method and device, electronic equipment and storage medium

Abstract

The invention provides an anomaly detection method and device, electronic equipment and a storage medium. The method comprises the steps of acquiring detail data and aggregated data of to-be-detecteddata, wherein the detail data comprise data details and data characteristics of each piece of to-be-detected data, and the aggregated data are aggregated statistical data of the to-be-detected data under each monitoring index dimension contained in a monitoring index system; according to the detail data, obtaining continuous risk data in the to-be-detected data through a preset continuous risk recall model; according to the aggregated data, obtaining sudden risk data in the to-be-detected data through a preset sudden risk recall model; wherein the persistent risk recall model comprises at least one of a grid density clustering algorithm model, an isolated forest algorithm model and a positive sample label-free learning algorithm model, and the sudden risk recall model comprises a prophet algorithm model. Therefore, timeliness and the coverage rate of risk perception are greatly improved.

Description

technical field [0001] The present invention relates to the technical field of the Internet, in particular to an anomaly detection method, device, electronic equipment and storage medium. Background technique [0002] In the risk control scenario, its system process mainly includes three stages: risk perception, problem analysis, and risk identification. The first stage is risk perception, that is, discovering risk problems, the second stage is problem analysis, that is, inductively analyzing and summarizing the types of problems found, and the third stage is risk identification, that is, building a risk identification model and conducting online interception. Among them, risk perception plays an important role as the pre-stage of the risk control system. The current method of risk perception mainly finds problems through daily inspection and sampling. This method has low timeliness and limited coverage, and considering the characteristics of strong confrontation and fast d...

AI Technical Summary

Problems solved by technology

[0003] Embodiments of the present invention provide an anomaly detection method, device, electronic equipment, and storage medium to solve the problems of poor timeliness and coverage in the existing anomaly detection process

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