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Risk quantification-based security big data analysis method

An analysis method and big data technology, applied in the field of big data analysis, to achieve the effect of easy duration

Inactive Publication Date: 2017-10-13
北京华清信安科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the current attack defense based on big data analysis technology is only a concept, and many aspects need to be improved, especially a security big data analysis method based on risk quantification

Method used

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  • Risk quantification-based security big data analysis method
  • Risk quantification-based security big data analysis method

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Embodiment Construction

[0025] The security big data analysis method based on risk quantification provided by the present invention comprises the following steps:

[0026] Step 100: Statistical analysis and learning of large flow data, and counting multiple flow security parameters.

[0027] In some embodiments, dozens of traffic security parameters can be calculated by statistically analyzing the traffic data of the past months or even years.

[0028] For example, the intelligent detection engine periodically samples historical traffic and calculates dozens of behavioral security indexes for statistical analysis, including network, user analysis, business analysis, custom statistical analysis, etc.:

[0029] network

[0030] The network is to allow users to quickly understand the current network usage. The network is divided into 6 parts: global traffic, port flow meter and protocol pie chart, port session number and protocol pie chart, port session creation and protocol pie chart, port host number...

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Abstract

The invention provides a risk quantification-based security big data analysis method. The method comprises the following steps that: A, statistical analysis and learning of massive data flow are performed, so that a plurality of flow security parameters are obtained through statistics; and correlations between the parameters are analyzed, and therefore, a dynamic adaptive security baseline model is constructed. With the risk quantification-based security big data analysis method of the invention adopted, risk quantification-based security big data analysis is realized, so that a reliable basis can be provided for big data analysis technology-based attack defense, and therefore, the big data analysis technology-based attack defense can fluctuate according to the mutual influence of the security parameters so as to more easily detect complex persistent attack behaviors which last for a long time and do not show abnormality in a short term.

Description

technical field [0001] The invention relates to the field of big data analysis. Background technique [0002] At present, almost all traditional security products rely on the principle based on signature database comparison. The fundamental limitation of this theory is that the signature database relied on can only collect signatures of known attacks. For unknown attacks, or those with high complexity and long duration cyber attacks are powerless. [0003] The attack defense based on big data analysis technology does not need a feature library at all, but builds a dynamic adaptive traffic security mathematical model to monitor in real time the network behavior anomaly index system composed of dozens of traffic security parameters, and monitors and defends in real time. A hidden network attack, completely getting rid of the dependence on the known attack signature database. [0004] However, the current attack defense based on big data analysis technology is only a concept,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24H04L29/06
CPCH04L41/145H04L41/142H04L63/1425H04L63/1466
Inventor 田新远
Owner 北京华清信安科技有限公司