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Intelligent substation network anomaly traffic detection model construction method based on probability

A technology of smart substation and construction method, applied in data exchange network, electrical components, digital transmission system, etc., can solve problems such as dangerous accidents, equipment interoperability failure, affecting the reliable operation of smart substations, etc.

Active Publication Date: 2017-12-26
ZHEJIANG UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Once an abnormal phenomenon occurs in the network, it may cause the loss of functions of smart terminals, protection equipment and other equipment, which will affect the reliable operation of smart substations and even cause chain power safety accidents.
When a network storm occurs, a large number of repeated messages are transmitted in the network, causing network congestion, abnormal monitoring data, equipment interoperability failure, the reliability of protection actions is affected, and the entire substation will eventually appear out of control; and when network intrusion occurs At that time, the IED (Intelligent Electric Device) equipment was arbitrarily controlled by the intruder, and the data of the station control layer was tampered with, causing large-scale power outages and dangerous accidents

Method used

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  • Intelligent substation network anomaly traffic detection model construction method based on probability
  • Intelligent substation network anomaly traffic detection model construction method based on probability
  • Intelligent substation network anomaly traffic detection model construction method based on probability

Examples

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Embodiment Construction

[0093] By collecting the actual data flow of a 110kV substation in Tianjin, a flow model with appropriate parameters is established. In the actual substation, a total of 56 IEDs and 3 monitoring machines are connected to the double-ring network structure through LAN (Local Area Network). The sampling point is obtained by the probe mechanism by collecting the port data of the SCADA servo server (IBMX3650). Measured aggregated traffic at the station control level of the smart substation; these traffics enable remote control and advanced management services. The original statistical time step of the probe measurement data stream is 1ms, which means that the data is refreshed and stored every millisecond. 8.64 × 10 7 By analyzing the characteristics of the network traffic, it is found that the traffic of the station control layer of the smart substation also has a large degree of self-similarity; therefore, the traffic data is aggregated. The aggregation period is 6000ms (1min)...

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Abstract

The invention discloses an intelligent substation network anomaly traffic detection model construction method based on a probability. According to the method, by carrying out repeated FARIMA simulation on acquired intelligent substation station control layer communication traffic data, a station control layer normal communication traffic threshold model is obtained; and a network anomaly case shown on the station control layer traffic level is subjected to key analysis, KDD99 anomaly data traffic is extracted and overlaid into original background traffic, anomaly network traffic is generated and used as a threshold datum thereout, and an evaluation index and an algorithm of an intelligent substation communication network are designed to analyze an operation condition of a power communication network. According to the invention, detailed algorithm description is given out by actual acquired traffic of a station control layer of a certain substation in Tianjin as test data, and examples are designed to carry out detection and early warning on substation communication network anomaly traffic.

Description

technical field [0001] The invention relates to a method for constructing a probability-based intelligent substation communication traffic anomaly detection model, which belongs to the field of power grid information security detection. Background technique [0002] While rapidly building intelligent substations, the network security issues of industrial control systems are also receiving increasing attention. The higher the network density of industrial systems is, the more serious the network security problems will be. For example, in 2015, Ukraine's power infrastructure was attacked by malicious code such as BlackEnergy, which finally caused a long power outage and created chaos in the entire society. In recent years, such cyber attacks with the level of information warfare have occurred frequently; the reason is the lack of awareness of cyber security for industrial control systems. [0003] Once an abnormal phenomenon occurs in the network, it may cause the loss of fu...

Claims

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Application Information

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IPC IPC(8): H04L29/06H04L12/24
CPCH04L41/145H04L63/1425
Inventor 杨强郝唯杰
Owner ZHEJIANG UNIV
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