High-efficiency intrusion detection system for industrial control network

Abstract

The invention provides a high-efficiency intrusion detection system for an industrial control network. The system comprises a data packet capture system, a data packet analysis system and a TensorFlow-based detection system; the data packet capture system adopts DPDK to capture data packets, and then the data packet analysis system analyzes the captured data packets layer by layer and extracts features to queue into a shared memory; the TensorFlow-based detection system loads an offline training model, continuously takes out features from a shared memory as input for detection, and finally uploads a detection result to a Web end.

Description

technical field [0001] The invention relates to an intrusion detection system, in particular to an efficient intrusion detection system for industrial control networks. Background technique [0002] With the introduction of national strategies such as "Industry 4.0" in Germany and the "re-industrialization" trend in the United States, and the accelerated integration of new-generation information technologies and manufacturing technologies such as cloud computing, big data, artificial intelligence, and the Internet of Things, the industrial control system consists of From the original closed and independent to open, from stand-alone to interconnected, from automation to intelligence. While industrial enterprises have gained huge momentum for development, a large number of security risks have also emerged. The "Stuxnet" virus attack on Iran's nuclear power plant, the continuous attack on Ukraine's power grid, and the large-scale power outage in Venezuela have sounded the alarm...

AI Technical Summary

Problems solved by technology

Compared with rule-based detection, anomaly-based detection methods are difficult to bypass, which improves the ability of intrusion detection to a certain extent. However, most of the current applications of machine learning in intrusion detection focus on algorithms, which lack convenient Load the detection engine for the machine learning model

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