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The Simulation Experiment and Research on an Improved Cumulative Sum Anomaly Detection Method

In order to solve the rising serious cyber security problem of the industry control system (ICS) and to improve the reliability of process control of industrial control system, this paper presents an anomaly detection algorithm based on statistical methods. Aimed at the dome temperature control system of hot blast stove in the metallurgical industry, we established that system’s mathematical model and calculate the difference between the predicted output of the model and the measured signal at each moment to form the time-based statistical sequence. Applying the improved non-parametric cumulative sum intrusion detection method, we realizes the online intrusion detection and alarm. The simulation detection experiment shows that the method has a good real-time.