Design and Practice of Industrial Control Network Security Threat Model

At present, the safety protection measures of the industrial control system roughly cover the following aspects, respectively: the establishment of the safety management system of the industrial control system, the safety evaluation of the industrial control system, the standardization of the operation behaviour of the industrial control system, and the architecture design of the safety industrial control system. In addition, there is no professional industrial control system network security technology products, can protect the network security of industrial control system. A security threat detection system based on multi-classification support vector machine (SVM) is designed to attack the security of industrial control network. By using the classic CIDF intrusion detection system, the overall framework of the security threat detection system is designed to become a model structure integrating data preprocessing, data information extraction, and security threat detection. Then a detection model based on multi-classification support vector machine (SVM) is designed by combining the security threat attack with the characteristics of SVM. Under the management of Linux platform and combined with libsvm software, the multi-classification SVM detection model is built and tested. In this paper, a multi-svm based access control defence model and security threat detection system are designed to deal with various attacks on industrial control networks, which has a positive significance for the development of industrial control information security.