Big data security analysis system based on massive network monitoring data

A network monitoring and security analysis technology, applied in the field of data analysis, can solve the problem of unable to identify unknown attacks, attacks and threats, and achieve the effect of real-time monitoring data security analysis and improving data security and reliability

Pending Publication Date: 2018-07-06
国网吉林省电力有限公司信息通信公司 +1
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Most of the traditional analysis methods use rule-based and feature-based analysis engines, which must have a rule base and a feature base to work. Rul

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  • Big data security analysis system based on massive network monitoring data

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Embodiment Construction

[0031] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0032] It should be noted that all expressions using "first" and "second" in the embodiments of the present invention are to distinguish two entities with the same name but different parameters or parameters that are not the same, see "first" and "second" It is only for the convenience of expression, and should not be construed as a limitation on the embodiments of the present invention, which will not be described one by one in the subsequent embodiments.

[0033] At present, the operation and maintenance management and security analysis of big data and data mining have research cases at home and abroad. Among them, the Einstein Project in the United States is a relatively successful case. It was officially renamed as the...

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Abstract

The invention discloses a big data security analysis system based on massive network monitoring data. The system includes a data traffic monitoring module, a deep packet detection module, a data jointanalysis module, an anomaly detection module and a security evaluation module, wherein the data traffic monitoring module is used to monitor data traffic in real time, analyze applications, perform lossless collection on various system traffic data, and transmit the data to other modules; the deep packet detection module is used to judge the service types and application types by deeply reconstituting and analyzing the payload content of a seventh-layer packet and matching service characteristics, and performs analysis to obtain different application types; the data joint analysis module is used to perform data aggregation and study the state and association analysis to further remove redundant information in original data; the anomaly detection module is used to detect a data analysis result and judge whether the data is abnormal; and the security evaluation module is used to obtain a data evaluation result by combining the network situation based on the analysis and detection of other modules. According to the system, the real-time monitoring of network data and corresponding data security analysis can be implemented, and the data security and reliability can be improved.

Description

technical field [0001] The invention relates to the technical field of data analysis, in particular to a big data security analysis system based on massive network monitoring data. Background technique [0002] With the in-depth development of IT in all walks of life and the complexity of IT technology itself, IT technology tends to be hierarchical in structure and widely used in distributed deployment. The traditional single network operation and maintenance method is increasingly unable to meet the changes. Advanced IT technologies and new attack methods emerge in an endless stream. Technologies such as virtualized cloud computing have also changed the way IT is deployed under the original structure. The widespread use of smart grids has led to a sharp increase in the amount of digital information in the grid. A new visual operation and maintenance method is required to solve new IT operation and maintenance challenges, to ensure the production safety of the power network...

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Application Information

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IPC IPC(8): H04L29/06H04L12/26
CPCH04L43/026H04L43/028H04L43/0876H04L63/1425H04L63/20
Inventor 李春郑磊刘立明王之一郝成亮颜佳陈明赵巍王佳刘超李黎滨孙伟曹源金泽洙
Owner 国网吉林省电力有限公司信息通信公司
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