A man-in-the-middle attack detection method for gas scada system based on single classification support vector machine

Abstract

A method for detecting a man-in-the-middle attack in a gas SCADA system based on a single classification support vector machine, comprising the following steps: 1) performing feature extraction on the data of the valve switch signal returned by the sensor of the gas pipeline network SCADA system; The data set run under the working conditions is used to train the single-category support vector machine model, and then the verification set is used to verify the accuracy of the model, and the test set is used to test the generalization ability of the single-category support vector machine model. By continuously adjusting the kernel function and penalty Parameters, find an optimal single-category support vector machine model; 3) Real-time attack detection, return the valve switch signal of the gas SCADA system in real time according to the sampling time, encode and calculate the signal, and put the data features into the trained support vector In the machine model, it is judged whether the valve at the sampling time point is attacked. The invention effectively detects the man-in-the-middle attack of the gas SCADA system.

Description

technical field [0001] The invention relates to the field of gas SCADA system attack detection and specifically designs a gas SCADA system man-in-the-middle attack detection method based on a single classification support vector machine. Background technique [0002] As a clean, low-emission and efficient energy source, natural gas has a good substitute for traditional energy sources in power generation, transportation, and chemical industry. With the continuous expansion of the urban natural gas pipeline network, the manual management mode and management methods can no longer meet the requirements of "reasonable planning, scientific management, and safe gas use". The response capacity and processing efficiency for emergencies are difficult to meet the needs of the rapid development of urban construction. Therefore, natural gas companies need a more convenient and timely way to realize the automation and scientificity of pipeline network operation, pipeline maintenance, pip...

AI Technical Summary

Problems solved by technology

[0004] The urban gas high-pressure pipeline network has the greatest impact on the entire city. Because the man-in-the-middle attack has invaded the gas SCADA system, it is difficult to detect at the network layer. Once a man-in-the-middle attack occurs, it may cause casualties and major property losses, and affect people's health normal production and life

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