Power communication network security situation awareness and prediction method based on IRT hierarchical analysis and LSTM (Long Short Term Memory)

A technology of network security and power communication, applied in the field of network security situation analysis in power communication network, can solve the problems of low network security situation awareness and prediction accuracy

Active Publication Date: 2018-03-09
POWER DISPATCHING CONTROL CENT OF GUANGDONG POWER GRID CO LTD
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Problems solved by technology

[0004] The purpose of the present invention is to solve the deficiencies when the above-mentioned prior art is applied to the power communication network, and proposes a power communication network security situation awareness and prediction method based on IRT hierarchy analysis and long-term short-term memory network (LSTM), which is applied to solve In the existing power communication network, the accuracy of network security situation awareness and prediction is not high. This method first extracts the characteristics that affect the network security situation assessment from the network connection status data collected in the power communication network, and based on the hierarchical The IRT model calculates the network security situation value, and then establishes a network security situation prediction model based on the long-term short-term memory network (LSTM) to realize the prediction of the power communication network security situation

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  • Power communication network security situation awareness and prediction method based on IRT hierarchical analysis and LSTM (Long Short Term Memory)
  • Power communication network security situation awareness and prediction method based on IRT hierarchical analysis and LSTM (Long Short Term Memory)
  • Power communication network security situation awareness and prediction method based on IRT hierarchical analysis and LSTM (Long Short Term Memory)

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Embodiment Construction

[0076] The invention will be further described in detail below with reference to the accompanying drawings.

[0077] like figure 1 As shown, the present invention is a power communication network security situation awareness and prediction method based on IRT hierarchy analysis and long short-term memory network (LSTM), and the method includes the following steps:

[0078] Step 1: Select features that affect network security situation assessment from the network connection status data collected from the power communication network, and perform data preprocessing.

[0079] (1-1) From the original records of network key information collected from the power communication network, select network key information data with a fixed length of time. Each piece of data contains 4 attributes: A. Time information includes: collection time period TIME; B .The host related information in the network includes: the number of hosts HOSTS_NUM, the importance level of each host HOSTS_LEVEL, the...

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Abstract

The invention discloses a power communication network security situation awareness and prediction method based on IRT hierarchical analysis and LSTM (Long Short Term Memory). The method is used for solving awareness and prediction on the security situation in the existing power communication network. The method comprises the implementation processes of: firstly, extracting characteristics influencing network security situation evaluation from network connection condition data acquired in the power communication network, furthermore, calculating a network security situation value based on a hierarchical IRT model, and then, establishing a network security situation prediction model based on LSTM, so that prediction on the security situation of the power communication network is realized. Byadoption of the method disclosed by the invention, the accuracy of the importance weight in a security situation evaluation process can be effectively improved; for the time sequence properties of anetwork security situation, the security situation of the power communication network can be predicted better; and furthermore, the network security condition can be reflected and predicted more accurately and effectively through the established model evaluation and prediction method.

Description

technical field [0001] The invention relates to the technical field of network security situation analysis in power communication networks, in particular to a power communication network security situation awareness and prediction method based on IRT level analysis and long short-term memory network (LSTM). Background technique [0002] With the advancement of smart grid research and practice, the power grid in the traditional sense is gradually integrating with the information communication system and monitoring and control system. The power communication network security and power grid operation security are closely linked, and the power communication network security is the top priority of power grid security. Heavy. During the "Twelfth Five-Year Plan" period, the power industry has continuously strengthened network security, and the network security protection system with the characteristics of the power industry has been continuously improved. At present, the power inf...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24H04L29/06G06F17/30G06Q50/06
CPCG06F16/90G06Q50/06H04L41/044H04L41/0631H04L41/145H04L41/147H04L63/1408H04L63/1433H04L63/1441
Inventor 姜文婷李伟坚林少锐卢乐书张思拓刘紫健亢中苗施展赵瑞锋周安
Owner POWER DISPATCHING CONTROL CENT OF GUANGDONG POWER GRID CO LTD
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