Industrial Internet of Things intrusion detection method, and device, equipment and storage medium

Abstract

The invention discloses an industrial Internet of Things intrusion detection method. The method comprises the following steps: acquiring original network data of a target industrial Internet of Things; performing feature screening on the original network data to obtain network feature data; preprocessing the network feature data to obtain to-be-detected data; and inputting the to-be-detected data into an intrusion detection agent obtained by training to obtain an intrusion detection result. The invention further discloses an industrial Internet of Things intrusion detection device, equipment and a storage medium. According to the invention, the original network data is processed to obtain the to-be-detected data, the to-be-detected data is input into the mature intrusion detection agent of the training strategy continuously updated by the loss function, and intrusion detection is carried out on the to-be-detected data; and, aiming at the characteristics of continuous change of the environment and structure of the industrial Internet of Things, the self identification strategy is dynamically adjusted, the accurate intrusion detection result is obtained, and the adaptability is high.

Description

technical field [0001] The present invention relates to the technical field of network security, in particular to an industrial Internet of Things intrusion detection method, device, equipment and storage medium. Background technique [0002] The Industrial Internet of Things is a complex network, and any failure or abnormality of a part of the system may cause huge damage to the entire system in a short period of time. Therefore, early detection of cyberattacks is critical for timely and effective cyber response. Intrusion Detection System (IDS) is an important part of network security protection, which can help the system to effectively discover network intrusion behavior. [0003] However, in recent years, due to the continuous changes in the operating environment and structure of the Industrial Internet of Things, traditional intrusion detection models (such as intrusion detection models based on simple machine learning, etc.) often do not have the ability to adapt to n...

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Problems solved by technology

[0006] The main purpose of the present invention is to provide an industrial Internet of Things intrusion detection method, device, equipment and storage medium, aiming to solve the problem that the traditional intrusion detection model in the prior art cannot provide the industrial Internet of Things with continuous changes in operating environment and structure. Technical Problems of Adaptive Intrusion Detection

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