Anomaly detection method applied to industrial control environment
An industrial control and anomaly detection technology, which is applied in the direction of digital transmission systems, safety communication devices, electrical components, etc., can solve the problems of single abnormal behavior and non-panicity, and achieve the effect of detection preparation
Active Publication Date: 2022-05-27
四川英得赛克科技有限公司
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Traditional anomaly detection methods are mostly based on industry experience or single features, and deal with a single abnormal behavior, which is not universal
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[0040] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention, that is, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. The components of the embodiments of the invention generally described and illustrated in the drawings herein may be arranged and designed in a variety of different configurations. Thus, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the invention as claimed, but is merely representative of selected embodiments of the invention. Based on the embodiments of the presen...
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The invention discloses an abnormality detection method applied to an industrial control environment, comprising: step 1, based on the network environment of the production site, an environment baseline is established by adopting an autonomous learning method; the environment baseline includes a production site device set and a communication connection set , a set of communication protocols, a set of connection data packets and a set of communication contents; step 2, monitor each communication connection, and use the established environmental baseline to judge the communication devices, communication connections, communication protocols, sent and received data packets, and sent Whether the content of the received data packet is normal, and send an abnormal message when an abnormality is detected; step 3, judge whether the received abnormal information is correct abnormal information, if it is a false positive abnormal information, mark the abnormal information as false Report and feedback system for environmental baseline calibration. The present invention establishes the environment baseline to perform multi-feature fusion anomaly detection, and can realize the detection of abnormal communication behavior in the industrial environment.
Description
technical field [0001] The invention relates to the technical field of industrial network security, in particular to an abnormality detection method applied to an industrial control environment. Background technique [0002] The communication of the power system in the industrial environment is relatively stable, and abnormal communication is sporadic and occasional. At this time, most of them correspond to operation and maintenance or malicious attacks. Such occasional behaviors have huge potential threats. With the gradual construction of the ubiquitous power Internet of Things, the power system will enter a new era of interconnection of all things, and the operating environment will gradually transition from relatively independent to power interconnection, and the potential threats it faces will also increase dramatically. Most of the traditional anomaly detection methods are based on industry experience or single feature, and deal with a single abnormal behavior, which i...
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IPC IPC(8): H04L9/40H04L67/12
CPCH04L63/1425H04L63/0236H04L67/12
Inventor 谢东
Owner 四川英得赛克科技有限公司