Malicious behavior detection method based on non-intrusive power terminal time sequence monitoring

Abstract

The invention discloses a malicious behavior detection method based on non-intrusive power terminal time sequence monitoring. The method comprises the following steps that S1, edge computing equipmentconstructs a database of historical electrical quantities of power terminal equipment; S2, a power consumption behavior data set is constructed for each power terminal device; S3, event detection iscarried out on the electrical quantity time series of each power terminal, a sample set is obtained after feature extraction, and a load classifier is trained; S4, event detection is carried out on the electric power total outlet electric quantity time series, features are extracted and input into the trained classifier model, and the equipment type to which the electric power terminal to be detected belongs is determined; S5, the power consumption information of the to-be-tested power terminal is counted; S6, the power consumption behavior of the to-be-detected power terminal is detected, andwhether the power consumption equipment is abnormal or not is determined according to the power consumption behavior; and S7, the edge computing device records and reports an exception. On the basisof non-intrusive power terminal time sequence monitoring, online detection of malicious behaviors of the power terminal equipment is realized through comparison with power utilization behaviors formedby the historical power information.

Description

technical field [0001] The invention relates to a method for detecting malicious behaviors of power terminal equipment under an edge computing system, in particular to a method for detecting malicious behaviors based on non-intrusive timing monitoring of power terminals. Background technique [0002] With the continuous deployment of smart grid systems in recent years, smart grid devices such as smart meters play an important role in collecting data related to power usage and smart grid status. With the continuous emergence of new equipment and new technologies in the fields of primary equipment intelligence and wireless communication, and gradually being widely used in the construction of power communication networks, the smart grid has a complex access environment, flexible and diverse access methods, and Features such as huge smart access terminals will increase the security risks of smart grids. Therefore, it is necessary to take technical precautions against the unsafe...

AI Technical Summary

Problems solved by technology

With the continuous emergence of new equipment and new technologies in the fields of primary equipment intelligence and wireless communication, and gradually being widely used in the construction of power communication networks, the smart grid has a complex access environment, flexible and diverse access methods, and Features such as huge smart access terminals, which will increase the security risk of smart grid

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