Intelligent detection method of sensing data exception under physical attacks of large-scale industrial sensor network information

Abstract

The invention discloses an intelligent detection method of sensing data exception under physical attacks of large-scale industrial sensing network information, and belongs to the field of sensor dataexception detection. The method comprises the the steps of standardizing sensor data; introducing an imaginary sensor, and carrying out data expansion on the standardized data; converting the one-dimensional sensor data into a two-dimensional data format; directly generating a grey-scale map from the two-dimensional data; classifying the converted pictures by using a convolutional neural network (CNN) classification algorithm; and expanding the number of sensors to the thousand-level or ten-thousand-level, and checking the expandability of an exception detection model and the application of the exception detection model in a large-scale industrial sensor network. Multiple simulation tests are carried out, and multiple evaluation indexes are adopted to compare the exception detection modelsbased on different algorithms. The method provided by the invention can solve the problem that the sensing data of the industrial sensor network has a complex relationship, meets the requirements ofreal-time performance and accuracy of the industrial network, and has good expansibility.

Description

technical field [0001] The invention relates to the field of sensor data anomaly detection, in particular to an intelligent detection method for sensor data anomalies under large-scale industrial sensor network information physical attacks. Background technique [0002] With the scale, informatization, and intelligent construction of the national industrial control system, the security issues of the industrial control system have become increasingly prominent. How to grasp the behavioral nature, protocol characteristics and data characteristics of industrial control systems has undoubtedly become a key issue in the research of industrial control systems in our country. At present, China is making every effort to build an intelligent and information-based industrial control system. A large number of smart sensors, actuator access and real-time data update requirements have expanded the scale of industrial sensor networks, resulting in a large increase in data flow in industri...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to solve the modeling problem of sudden industrial sensor network sensor data anomaly detection, and propose a large-scale industrial sensor network information An intelligent detection method for sensor data anomalies under physical attacks has guiding significance for sensor configuration planning and anomaly detection in industrial control systems

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