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A machine learning-based risk prediction method for information system operating status

An information system and risk prediction technology, applied in the field of information system operation state risk prediction based on machine learning, can solve the problems of poor information system risk prevention and control ability, inability to intelligently predict information system operation state risks, etc., to increase risk prevention and control. control ability, meet precision requirements, and meet the effect of big data and multi-concurrency

Active Publication Date: 2021-12-14
YGSOFT INC
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Problems solved by technology

[0005] In view of the above analysis, the present invention aims to provide a machine learning-based information system risk prediction method to solve the problems in the prior art that the risk of information system operation status cannot be intelligently predicted and the ability of information system risk prevention and control is poor

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  • A machine learning-based risk prediction method for information system operating status
  • A machine learning-based risk prediction method for information system operating status

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Embodiment Construction

[0031] Preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of the application and together with the embodiments of the present invention are used to explain the principle of the present invention and are not intended to limit the scope of the present invention.

[0032] A specific embodiment of the present invention discloses a machine learning-based method for predicting the risk of information system operating status. The schematic flow chart of the method is as follows: figure 1 As shown in , the flow diagram of the prediction process of information system operation status is as follows: figure 2 Shown; The step of described method comprises:

[0033] Step S1, collect the index data in the original log, select the index data of multiple dimensions, and obtain the training set and test set of the index data of each dimension;

[0034] Collecting t...

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Abstract

The invention relates to a method for predicting the risk of information system operating status based on machine learning, which belongs to the technical field of risk prediction of information system operating status, and solves the problem that the risk of information system operating status cannot be intelligently predicted in the prior art, and the risk prevention and control ability of the information system is relatively low. bad question. The method comprises the steps of: collecting index data in the original log, selecting the index data of multiple dimensions, and obtaining a training set and a test set of index data of each dimension; for the training set and test set of index data of each dimension, Constructing a dimension value prediction model of the corresponding dimension index data; predicting and obtaining the longitudinal prediction value of the preset future duration of the corresponding dimension index data; according to the longitudinal prediction value of the preset future duration, combining the multiple dimension index data and the risk result value Corresponding relationship, get the risk prediction result of the preset future time. Realized the intelligent prediction of information system operation status risk, and increased the ability of information system risk prevention and control.

Description

technical field [0001] The invention relates to the technical field of information system operation state risk prediction, in particular to a machine learning-based information system operation state risk prediction method. Background technique [0002] In the information system life cycle, the time and cost of system construction only account for a relatively small part, while system operation and maintenance occupy a major part of the entire time and cost. It can be said that information systems are "three-point construction, seven-point operation and maintenance", This shows the importance of information system operation and maintenance; in recent years, the informatization of all walks of life has gradually entered a new stage of both construction and operation and maintenance from information system construction, and information system operation and maintenance technology has developed rapidly; but in the process of IT operation and maintenance Most of the IT staff are ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/00
CPCG06Q10/04G06Q10/0635
Inventor 李纯郑滔刘培锋
Owner YGSOFT INC
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