Application audit failure identification method, device and system and readable storage medium

Abstract

The invention discloses an application audit failure identification method, which is applied to a cloud. The method comprises the steps of obtaining update log data and audit log quantity data of eachapplication; loading historical statistical analysis data through a big data statistical analysis platform; performing classification calculation on each application, and calculating a log change trend of each application according to the audit log quantity data and the historical statistical analysis data; and judging whether the application auditing is invalid or not according to the log changetrend and the updated log data. The invention relates to an identification scheme based on big data statistical analysis. Through collecting the audit log quantity of various applications, and analyzing the change trend of logs in combination with historical data, whether audit fails or not is automatically judged. The whole process is automatically completed by equipment, the labor cost is avoided, the detection real-time performance is very good, the detection efficiency is improved, and meanwhile the detection effect is guaranteed. In addition, the invention further provides an applicationauditing failure recognition device and system with the technical advantages and a readable storage medium.

Description

technical field [0001] The present invention relates to the field of computer information technology, in particular to an application audit failure identification method, device, system and computer-readable storage medium. Background technique [0002] For the online behavior management industry, the application audit function is very important. With the rapid development of the Internet, application updates and upgrades are very fast. How to detect audit identification failures caused by application updates has become a pain point in the industry. [0003] The shortcomings of the current application audit failure detection scheme are as follows: the detection of application audit failure is all manual, and the inspection of invalid applications and failure time is not accurate, and cannot keep up with the software update speed; the detection method is through manual operation or through automated simulation software Use behaviors, and then check the audit results to deter...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide an application audit failure identification method, device, system and computer-readable storage medium to solve the problems of low efficiency and poor detection effect in the audit identification failure detection scheme caused by the existing application update

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