Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-08-13 Cooperative journals: 《计算机应用研究》
Abstract： The Modbus industry bus protocol is special. And the network intrusion data sample of industrial control system is not balanced. So this paper used one-class support vector machine (OCSVM) to construct normal OCSVM model and abnormal OCSVM model to simulate the normal mode and abnormal mode of system communication. Then to realize the abnormal detection of industrial control system. In order to prevent the OCSVM model from overfitting and the low accuracy of classification, this paper used the genetic algorithm to the industrial control network by optimizing the dimensionality reduction of the independent variable. This method improves the accuracy of the anomaly detection and reduces the modeling time. Simulation results show that the proposed algorithm is effective for anomaly detection of industrial network.
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