System-log classification method

A system log, classification model technology, applied in text database clustering/classification, special data processing applications, instruments, etc., can solve the problems of classification accuracy and time efficiency decline, low accuracy and time efficiency, and achieve convenient positioning. Or predict and protect the effect of sensitive information

Active Publication Date: 2018-08-21
INST OF COMPUTING TECH CHINESE ACAD OF SCI
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Problems solved by technology

However, the accuracy and time efficiency of these classification methods are generally not high, especially when classifying system logs of large data sets, these methods have a significant decline in classification accuracy and time efficiency

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Embodiment Construction

[0025] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below through specific embodiments in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0026] Aiming at the problems of low timeliness and low accuracy in current system log classification methods, the present invention introduces convolutional neural network technology to construct a system log classification model, and uses the model to classify system logs. The reason for using convolutional neural network technology is that it is suitable for processing complex high-dimensional data (that is, suitable for large data scenarios). The basic principle and training process of convolutional neural network will be described first.

[0027] The convolutional neural network i...

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Abstract

The invention provides a method of extracting a feature vector from a system log, a method of constructing a system-log classification model and a system-log classification method. The method of extracting the feature vector includes: for each category, calculating semantic similarity degrees of keywords of the category and the system log, and selecting certain similarity degrees to use the same as a feature vector of the system log under the category; and combining the feature vectors of the system log under all the categories to obtain the feature vector of the system log. According to the method of constructing the model, the method of extracting the feature vector is utilized to extract feature vectors of a training data set, and the same are used as input of a convolutional neural network (CNN) to train the model. According to the system-log classification method, the method of extracting the feature vector is utilized to extract a feature vector of a system log, and a classification result is obtained through the model. The methods can realize system-log classification of high accuracy and high timeliness.

Description

technical field [0001] The invention relates to the field of log processing and analysis, in particular to system log classification technology. Background technique [0002] System logs are used to record hardware, software, and system problems in computer systems, and to monitor events that occur in the system. System logs in a broad sense include system RAS logs and system security audit logs, etc. Administrators can check the system status at any time by viewing system logs, check the cause of errors, or look for traces left by attackers when they are attacked. [0003] When the number of system logs is increasing day by day, it is necessary to sort out different types of system logs. By classifying system logs, system administrators can continuously observe the health status of the system, locate root faults, and perform task scheduling and performance optimization. Existing system log classification methods include density-based methods, cluster analysis-based method...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06N3/04
CPCG06F16/1815G06F16/35G06N3/048G06N3/045
Inventor 程杰超任睿殷岩詹剑锋王磊
Owner INST OF COMPUTING TECH CHINESE ACAD OF SCI
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