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User behavior safety early warning method and system for electric power monitoring system

A technology for power monitoring and system users, applied in forecasting, data processing applications, character and pattern recognition, etc., can solve the problems of lack of safety evaluation system, lag in safety protection, lack of analysis methods for unknown threats, etc., to ensure the function of power safety monitoring Achieve, improve effectiveness and accuracy, improve application and accuracy

Active Publication Date: 2020-09-18
STATE GRID CORP OF CHINA +6
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current security protection products of the power monitoring system have formed a security island, and the products cannot be effectively connected in series, and the security protection measures for security risks cannot be informed to the entire network.
It is impossible to effectively prevent known risks; the current security protection methods of power monitoring systems are based on rules and historical data, and the correlation between data is relatively low. It is impossible to effectively analyze a large amount of real-time data, and the early warning results are extremely large. The extent depends on the rules of their respective security products, and there is no effective analysis method for unknown threats; the current power monitoring system cannot link security policies in real time based on alarm results, and cannot issue targeted security policies based on current security risks. Security protection There is hysteresis; the current power monitoring system lacks an effective safety evaluation system, and the safety protection work has not entered a virtuous circle, only passive defense for safety protection issues

Method used

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  • User behavior safety early warning method and system for electric power monitoring system
  • User behavior safety early warning method and system for electric power monitoring system
  • User behavior safety early warning method and system for electric power monitoring system

Examples

Experimental program
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Effect test

Embodiment 1

[0052] Embodiment one, figure 1 It is the flow of the user behavior analysis method provided by the specific embodiment of the present invention; figure 1 It shows a user behavior security early warning method for a power monitoring system, including:

[0053] Collect security monitoring logs of the power monitoring system;

[0054] Extract user operation information based on the collected security monitoring logs, perform user behavior data characterization processing on user operation information, and obtain the processed user behavior characteristic data; input the obtained user behavior characteristic data into the trained machine learning model to obtain based on Early warning prompts for user behavior safety levels.

[0055] Preferably, the big data analysis system adopted in this embodiment adopts the distributed system infrastructure Hadoop.

[0056] The big data analysis system Hadoop sends the collected security monitoring logs to the Elasticsearch module of the b...

Embodiment 2

[0107] Embodiment 2. This embodiment provides a user behavior security early warning method for a power monitoring system, including:

[0108] Collect security monitoring logs of the power monitoring system;

[0109] Extract user operation information based on the collected security monitoring logs, perform user behavior data characterization processing on user operation information, and obtain the processed user behavior characteristic data; input the obtained user behavior characteristic data into the trained machine learning model to obtain based on Early warning prompts for user behavior safety levels.

[0110] Specifically include:

[0111] 1. The definition of user behavior level, the method is as described in Embodiment 1, but no further introduction.

[0112] 2. Characterization processing of user behavior data

[0113] On the basis of Embodiment 1, this embodiment proposes effective data expansion, that is, combining the advantages of mathematical modeling such as ...

Embodiment 3

[0244] Embodiment three, provide: electric power monitoring system user behavior security warning method and system, comprise physical layer, network layer, data layer and artificial intelligence layer (such as figure 2 shown);

[0245] The physical layer includes servers and security devices;

[0246] The network layer is a big data analysis system deployed on the physical layer, and the system adopts distributed infrastructure Hadoop;

[0247] The physical layer extracts the data of the data layer through the network layer, and the data includes the safety monitoring log generated by the power monitoring system in real time;

[0248] The artificial intelligence layer is used to collect security monitoring logs of the physical layer and extract user operation information based on the collected security monitoring logs, perform user behavior characteristic data characterization processing on the user operation information, and obtain processed user behavior characteristic da...

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Abstract

The invention discloses a user behavior safety early warning method and system for an electric power monitoring system. The method comprises the following steps: acquiring a safety monitoring log of the electric power monitoring system; extracting user operation information based on the collected security monitoring log, and performing user behavior data characterization processing on the user operation information; and inputting the obtained user behavior characteristic data into a pre-trained machine learning model to finally obtain early warning prompt information based on the user behaviorsafety level. The invention provides a safety early warning method based on user behavior safety risk grading, and aims to improve the effectiveness and accuracy of data association analysis of a power monitoring system. According to the user behavior safety grading method provided by the invention, the judgment of the risk level of the user behavior is achieved, the corresponding alarm is givenon the electric power monitoring system, the field monitoring personnel is timely reminded to carry out the alarm operation in time, and the safety of the electric power monitoring system and the realization of the electric power safety monitoring function are ensured.

Description

technical field [0001] The invention belongs to the technical field of power system safety monitoring, and in particular relates to a user behavior safety early warning method and system of a power monitoring system. Background technique [0002] In addition to traditional behaviors that endanger network security such as hacker attacks and virus intrusions, behaviors that violate security policies caused by abnormal operations of internal users also pose a great threat to the safe operation of the system. For these abnormal or illegal operations, traditional security measures such as firewalls are not effective in detecting them. [0003] Power systems generate large amounts of data every day. Safety assessment is an important part of power system secondary system safety and protection. However, the current security protection products of the power monitoring system have formed a security island, and the products cannot be effectively connected in series, and the security ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/04G06Q50/06G06K9/62
CPCG06Q10/0635G06Q10/04G06Q50/06G06F18/241Y04S10/50
Inventor 管荑王文婷刘新刘勇林琳马雷李勃梁野马力何纪成王昊赵航蒋正威金学奇肖艳炜孔飘红
Owner STATE GRID CORP OF CHINA
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