Log abnormality detection method, device, and equipment, storage medium, and program product
By dividing the log sequence into subsequences and generating counting vectors, efficient log anomaly detection is achieved, solving the problems of low efficiency and high false detection rate in existing technologies.
CN116991655BActive Publication Date: 2026-08-18TENCENT TECHNOLOGY (SHENZHEN) CO LTD
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Patent Information
- Application Number
- CN202211205824.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-09-29
- Publication Date
- 2026-08-18
- Estimated Expiration
- 2042-09-29
AI Technical Summary
Technical Problem
In existing technologies, the detection efficiency of system anomaly logs is low, and the reliance on manual investigation leads to high labor costs and a high risk of false detections.
Method used
The log sequence is divided into multiple subsequences, log event statistics are generated to form a counting vector, and anomaly detection is performed based on the counting vector to select subsequences and logs with anomalies.
Benefits of technology
It improved log detection efficiency, reduced the number of checks, lowered labor costs, and avoided human error detection.
✦ Generated by Eureka AI based on patent content.
Abstract
The application discloses an abnormality detection method, device and equipment of a log, a storage medium and a program product. The method comprises the following steps: dividing a log sequence to be detected to obtain a plurality of subsequences, each subsequence comprising a plurality of logs; performing log event statistics on the plurality of logs contained in each subsequence to generate a count vector corresponding to each subsequence; performing abnormality detection on each subsequence according to the count vector corresponding to each subsequence to obtain a subsequence with an abnormality; and selecting a log with an abnormality from the subsequence with an abnormality. Compared with performing abnormality detection on all logs in the log sequence one by one, the abnormality detection method of the log disclosed by the application can reduce the number of log detections and improve the log detection efficiency.
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