Random geometric data anomaly location method based on Markov random field theory

A technology of random geometry and abnormal data, applied in data processing applications, data exchange networks, digital transmission systems, etc., can solve the problems of high feedback delay and low positioning accuracy, reduce additional load, ensure positioning accuracy, and reduce operations. amount of effect

Active Publication Date: 2018-11-06
GUANGDONG POWER GRID CO LTD +1
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  • Abstract
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  • Application Information

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Problems solved by technology

[0004] In order to solve the technical defects of high feedback delay and low positioning accuracy existing in the existing data network abnormal positioning technology, the present invention provides a random geometric data abnormal positioning method based on Markov random field theory

Method used

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  • Random geometric data anomaly location method based on Markov random field theory
  • Random geometric data anomaly location method based on Markov random field theory
  • Random geometric data anomaly location method based on Markov random field theory

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Embodiment 1

[0048] Such as figure 1 , figure 2 As shown, the random geometric data anomaly location method based on the Markov random field theory includes the following steps:

[0049] S1: Establish a power data network model based on the Markov random field theory, and construct a corresponding node relationship topology diagram;

[0050] S2: In the obtained node relationship topology diagram, analyze the topological difference degree of each node before and after the abnormality occurs, and select the abnormal point to be judged;

[0051] S3: According to the correlation degree of the covariance matrix, make an abnormal judgment on each suspicious node, and detect the abnormal node.

[0052] More specifically, the step S1 includes the following steps:

[0053] S11: When a network abnormality occurs, record all N nodes that are sending or receiving information in the power data network, which constitute an active node set a={1,2,...,N}, then a indicates that there may be an abnormal...

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Abstract

The invention relates to a random geometric data anomaly location method based on Markov random field theory. The random geometric data anomaly location method based on the Markov random field theorycomprises the following steps: establishing a power data network model based on the Markov random field theory, and constructing a corresponding node relationship topological graph; analyzing the topological difference degree of each node before and after the occurrence of the anomaly in the node relationship topological graph, and selecting anomaly nodes to be judged; and performing anomaly judgment on each suspected node to detect the anomaly node according to the correlation degree of a covariance matrix. By means of the random geometric data anomaly location method based on the Markov random field theory provided by the invention, the node location where the anomaly occurs in the power data network can be quickly located, and abnormal behaviors in the network can be eliminated in time;in addition, the random geometric data anomaly location method can effectively reduce the amount of computation required by the network anomaly location and reduce the additional load of the networkwhile ensuring the accuracy of location.

Description

technical field [0001] The present invention relates to the technical field of power data network security, and more specifically, to a random geometric data anomaly location method based on Markov random field theory. Background technique [0002] With the advancement of smart grid research and practice, the traditional power grid is gradually integrating with information communication systems and monitoring and control systems. The security of power communication networks is closely connected with the safety of power grid operation. The security of power communication networks is the top priority of power grid security. Heavy. The power industry faces an ever-evolving cyber threat environment. The original hacker attack was to attack media websites for influence and self-satisfaction; but now it has evolved into an attack for economic and political purposes. Attackers can directly obtain benefits by stealing intellectual property rights, and can also invade and steal cus...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/06H04L12/24G06Q50/06
CPCG06Q50/06H04L41/0677H04L41/145H04L63/1425
Inventor 姜文婷赵瑞峰王婉婷邓晓智刘紫健刘国庆
Owner GUANGDONG POWER GRID CO LTD
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