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Security protection early warning model construction method and system based on multiple data perception

A data perception and early warning model technology, applied in data processing applications, neural learning methods, electrical digital data processing, etc., can solve problems such as increasing the difficulty of intrusion detection and complex network environment, and achieve the effect of improving system diagnostic capabilities.

Pending Publication Date: 2022-04-26
国网山东省电力公司营销服务中心(计量中心) +3
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, with the massive access of IoT terminal devices and the continuous expansion of energy consumption scale, the network environment becomes more complicated, and more high-latitude and non-linear traffic data are generated in the communication process. The signal monitoring and management system of the marketing business system is based on the service bus and message center for process-based message collection and distribution-driven collection. The current monitoring data dimension and data volume increase the difficulty of intrusion detection. The traditional method can no longer meet the requirements.

Method used

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  • Security protection early warning model construction method and system based on multiple data perception
  • Security protection early warning model construction method and system based on multiple data perception
  • Security protection early warning model construction method and system based on multiple data perception

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Embodiment 1

[0049] See attached Figure 4 As shown, the present embodiment discloses a multiple data acquisition model (data set) construction method, including:

[0050] Real-time collection of energy consumption monitoring data of power grid users through dedicated power channels, extracting data reflecting the operating conditions of the operating system transmitted between energy centers at all levels, energy users, and power networks, including normal operation data, normal energy consumption data, Abnormal energy consumption data, abnormal intrusion data, and various types of interference information are used as sample feature sets for building multiple data acquisition models;

[0051]Based on the sample feature set of the operating condition data of the operating system, the spatial information clustering analysis method is adopted, and based on the monitoring sensor nodes, the operating condition data of the operating system is divided into N cluster head nodes, which are used to...

Embodiment 2

[0123] The purpose of this embodiment is to provide a computing device, including a memory, a processor, and a computer program stored in the memory and operable on the processor, and the processor implements the steps of the above method when executing the program.

Embodiment 3

[0125] The purpose of this embodiment is to provide a computer-readable storage medium.

[0126] A computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps of the above-mentioned method are executed.

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Abstract

The invention provides a safety protection early warning model construction method and system based on multi-data perception, and the method comprises the steps: collecting power grid user energy consumption monitoring data in real time, and constructing a multi-data set; constructing a multiple data perception model based on the multiple data sets in combination with a deep neural network; the multiple data sensing model senses intrusion behavior data, performs health state grade evaluation, obtains a health state grade evaluation result, and constructs an early warning model. And judging the intrusion behavior by using the early warning model, if the intrusion behavior exists, giving an early warning for protection, otherwise, not giving the early warning.

Description

technical field [0001] The invention belongs to the technical fields of user energy consumption and intrusion monitoring, and in particular relates to a method and system for building a safety protection early warning model based on multiple data perception. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] Due to the expansion of data types and collection channels of the grid energy system, it is difficult to effectively monitor new security attacks. It is an urgent problem to be solved how to improve the power grid enterprise's awareness of user energy consumption status, improve user service quality, and establish an effective monitoring and early warning method for power grid user energy consumption system based on multiple data perception. [0004] At present, the most commonly used method is to apply feature-based intrusion detection ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06K9/62G06N3/04G06N3/08G06Q50/06G06F111/08G06F113/04
CPCG06F30/27G06Q50/06G06N3/08G06F2113/04G06F2111/08G06N3/045G06F18/2321
Inventor 张淞珲刘涛徐新光杨剑邢宇岳巍董贤光郭亮曹彤王者龙王毓琦张仲耀
Owner 国网山东省电力公司营销服务中心(计量中心)
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