Security intelligent inspection reinforcement method for power monitoring network
A power monitoring and network security technology, applied in the direction of program control, circuit devices, electrical components, etc., can solve the problems of vulnerable power monitoring system to attack, poor technical early warning ability, etc., to achieve good security, dynamic model, recognition effect Good results
Pending Publication Date: 2022-04-26
中国南方电网有限责任公司超高压输电公司南宁监控中心
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However, during the implementation process, the inventors found that there are at least the following problems in the traditional technology: the traditional technology used to monitor the network security of the power monitoring system has poor early warning capabilities, which makes the power monitoring system vulnerable to attacks
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[0023] refer to Figure 1 to Figure 3 , the power monitoring network security intelligent patrol reinforcement method, which includes the following steps of collecting security information data from multiple devices and / or application layers through the power monitoring network;
[0024] Based on the collected security information data, and based on the prediction function and the risk weight of the collected security information, by performing power monitoring network security analysis in a machine learning method, identifying one or more security risks from the collected data; And trigger remedial measures based on risk weight and security risk; the evaluation is based on pre-configured library, periodic inspection, periodic change management and periodic reconfiguration;
[0025] After the remedial measures are triggered, adjust the risk weight accordingly to update the machine learning method;
[0026] The self-learning security information data is used to generate and / or...
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The invention discloses an electric power monitoring network security intelligent inspection reinforcement method. The method comprises the steps of collecting security information data of the power monitoring network, executing security analysis of the power monitoring network through a machine learning method, periodically polling the power monitoring network based on configuration, triggering remedial measures according to a surveyed security risk, adjusting a risk weight, updating an attack configuration file for reinforcing the network and the like. Through information collection of a power monitoring network and classification of risk intrusion behaviors, after a security risk is identified, a remedial measure is taken to block the security risk, and a new decision tree is adjusted after machine learning is correspondingly updated, so that the probability that the security risk is damaged due to the remedial measure is reduced. And the response efficiency of the decision-making tree is reduced due to the reduction of corresponding signals after the corresponding risk is blocked. Therefore, the method has the advantages of dynamic model, good safety and good identification effect.
Description
technical field [0001] The invention relates to the field of network security supervision and application technology, in particular to a power monitoring network security intelligent inspection reinforcement method. Background technique [0002] As the national key information infrastructure, the power system may cause large-scale power outages once it is attacked by cyber security, seriously threatening the security of enterprises and the country. However, during the implementation process, the inventors found that there are at least the following problems in the traditional technology: the traditional network security technology used to monitor the power monitoring system has poor early warning capabilities, which makes the power monitoring system vulnerable to attacks. Existing technologies such as the Chinese invention patent with the authorized announcement number CN110460459B disclose a method for network security situation awareness of a power monitoring system. Data...
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Login to View More IPC IPC(8): G05B19/042H02J13/00
CPCG05B19/0428H02J13/00002G05B2219/24024Y04S40/20
Inventor 申晓杰黄宇廖华潘鹏梁阳袁卫义李更达邓朝翥邱可林夏梽珺程浩钟文明陈磊陈方之
Owner 中国南方电网有限责任公司超高压输电公司南宁监控中心