Application software anomaly detection method and system applied to artificial intelligence

Abstract

The invention relates to the technical field of artificial intelligence and APP anomaly detection, in particular to an application software anomaly detection method and system applied to artificial intelligence. The target auxiliary abnormal behavior event description is obtained by adjusting the positioning tag configuration type event description obtained by the artificial intelligence terminal at the cloud side by combining the application software abnormal behavior event description at the edge side; the application software abnormal behavior event positioning is performed on the to-be-positioned first application software abnormal behavior event description acquired by the edge side artificial intelligence terminal, so that the situation that the description attention of the acquired abnormal behavior event description is different due to the difference between different artificial intelligence terminals can be prevented to a certain extent; therefore, the positioning accuracy of the abnormal behavior event of the application software and the comprehensiveness of abnormal detection of the application software can be remarkably improved, and the credibility of the positioning condition of the first abnormal behavior event is ensured.

Description

technical field [0001] The embodiment of the present application relates to the technical field of artificial intelligence and APP anomaly detection, and specifically relates to an application software anomaly detection method and system applied to artificial intelligence. Background technique [0002] At present, the security analysis of application software has become the focus of public attention. Common application software anomaly detection includes fraud detection (for example, mainly by detecting abnormal behaviors to detect whether someone else’s credit card is stolen) and intrusion detection (for example, detecting intrusion into computer systems), etc. [0003] With the continuous development of science and technology, when users use application software, software abnormalities such as garbled codes, software pages that cannot be opened, personal information leakage, and important data damage are all problems that users are concerned about. For the ever-increasing...

AI Technical Summary

Problems solved by technology

[0003] With the continuous development of science and technology, when users use application software, software abnormalities such as garbled codes, software pages that cannot be opened, personal information leakage, and important data damage are all issues that users are more concerned about. In terms of the ever-increasing application software anomalies, traditional application software anomaly detection is difficult to meet the relevant requirements. Therefore, how to combine cutting-edge technologies (such as artificial intelligence) to achieve comprehensive and reliable detection of application software anomalies is a technical problem that needs to be overcome at present.

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