An audit system based on big data visualization technology

Abstract

The invention discloses an audit system based on big data visualization technology, including a target data acquisition module, data feature extraction module, chart drawing module. The graph drawingmodule transfers the corresponding drawing algorithm in the graph drawing algorithm database according to the finished data and the extracted characteristic data to draw the visual graph, and sends the drawing result to the man-machine operation module for display; the analysis model building module and the simulation analysis module are used to draw the visual graph according to the finished dataand the extracted characteristic data. The analysis model building module is used to call the corresponding modeling parameters in the modeling parameter database according to the preset associationrelationship based on the feature data, and mark them with the corresponding target data. The data simulation analysis model is constructed by Simulink based on the marked modeling parameters. The invention realizes the visual audit analysis of the data based on the drawing of various visual diagrams and the establishment of simulation models, and lightens the workload of the staff.

Description

technical field [0001] The invention relates to the field of data auditing, in particular to an auditing system based on big data visualization technology. Background technique [0002] Big data, cloud computing, and "Internet +" have become new trends in innovation and development. Under the conditions of big data, enterprises need to have the ability to gain insight into data changes, perceive problematic data, and provide effective security strategies in the first place. ability. Each system of an enterprise generates tens of thousands of data. Although there are many traditional logs or other professional tools that can help enterprises analyze these data, traditional security product tools cannot bring us efficiency. Traditional IPS / IDS, firewall / UTM, AV, and log systems have tens of millions of pieces of information every day, but the processing of data by traditional product tools currently only stays in separate, independent, simple charts and simple list queries ...

AI Technical Summary

Problems solved by technology

Each system of an enterprise generates tens of thousands of data. Although there are many traditional logs or other professional tools that can help enterprises analyze these data, traditional security product tools cannot bring us efficiency. Traditional IPS / IDS, firewall / UTM, AV, and log systems have tens of millions of pieces of information every day, but the processing of data by traditional product tools currently only stays in separate, independent, simple charts and simple list queries However, these data have not yet been well presented as visual associations, and the extraction and association of key data must be screened one by one manually

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