High-efficiency intrusion detection system for industrial control network

A technology of intrusion detection system and industrial control network, which is applied in the direction of transmission system, electrical components, etc., can solve the problem of lack of detection engine and achieve the effect of convenient loading

Active Publication Date: 2020-04-10
BEIHANG UNIV
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  • Abstract
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  • Claims
  • Application Information

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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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  • High-efficiency intrusion detection system for industrial control network
  • High-efficiency intrusion detection system for industrial control network
  • High-efficiency intrusion detection system for industrial control network

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Embodiment Construction

[0023] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0024] The intrusion detection system of the present invention includes a data packet capture system, a data packet analysis system and a detection system based on TensorFlow, the data packet capture system uses DPDK to capture data packets, and then the data packet analysis system analyzes the captured data packets layer by layer , and extract the corresponding features into the shared memory; ...

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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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/06
CPCH04L63/1416H04L69/22
Inventor 李博王立杰李建欣
Owner BEIHANG UNIV
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