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Electric power CPS information attack identification method based on stack type self-encoding network model

A technology of stacked self-encoding and information attack, which is applied in the field of power CPS information attack identification based on stacked self-encoding network model, can solve the problems of low identification accuracy and complex data characteristics, and achieve improved convergence speed, strong applicability, and good effect

Active Publication Date: 2020-06-12
NORTHEAST DIANLI UNIVERSITY +4
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AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to overcome the problems of complex data features and relatively low identification accuracy in the process of electric power CPS information attack identification, and propose a power system based on stacked self-encoding network model from the perspective of correlation and redundancy of CPS data features. CPS information attack identification method

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  • Electric power CPS information attack identification method based on stack type self-encoding network model
  • Electric power CPS information attack identification method based on stack type self-encoding network model
  • Electric power CPS information attack identification method based on stack type self-encoding network model

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Embodiment Construction

[0041] A power CPS information attack identification method based on a stacked autoencoder network of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0042] refer to figure 1 , a power CPS information attack identification method based on a stacked self-encoding network, comprising the following steps:

[0043] 1) Considering that the high-dimensional characteristics, nonlinear correlation and non-functional dependence in CPS data have caused serious obstacles in the process of research and application, the present invention proposes a maximum correlation minimum redundancy considering the improvement of the maximum information coefficient The attack feature selection method reflects the nonlinear correlation and non-functional dependence in the data features, and analyzes the correlation and redundancy between the features, and then selects the optimal attack feature set

[0044](a) Data preprocessing. CPS data may co...

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Abstract

The invention relates to an electric power CPS information attack identification method based on a stack type self-encoding network model, which is characterized by comprising the following steps: introducing a maximum information coefficient to select data characteristics according to properties such as CPS data non-function dependence and non-linear correlation, and determining an optimal attackcharacteristic set; constructing an information attack identification model based on a stack type self-encoding network, and setting an unsupervised pre-training encoder and a supervised fine tuningclassifier to perform network parameter training updating; model initial parameter optimization based on the adaptive cuckoo algorithm is realized. The problems of complex data characteristics, relatively low identification precision and the like in the power CPS information attack identification process are solved, and the method has the advantages of being scientific, reasonable, high in applicability, good in effect and the like.

Description

technical field [0001] The invention relates to the field of electric power cyber-physical systems, and relates to an electric power CPS information attack identification method based on a stacked self-encoding network model. Background technique [0002] With the continuous development of information technology, the information side and the physical side of the power system are increasingly interactively coupled, gradually forming a power cyber-physical system (CPS) that integrates computing systems, communication networks, and physical environments. In the process of power grid production management and scheduling control, information systems are increasingly inseparable. But at the same time, some loopholes in information systems may be exploited by attackers, causing serious threats to physical systems across space, and even causing temporary paralysis of important infrastructure. The security issues on the information side of power CPS have gradually attracted people's...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/08G06Q10/06G06Q50/06
CPCG06N3/08G06Q10/0635G06Q50/06G06F18/22G06F18/241
Inventor 魏晓明曲朝阳武赟王蕾薄小永曹杰齐四清吕洪波胡可为孙建薛凯徐鹏程
Owner NORTHEAST DIANLI UNIVERSITY
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