Method and system for detecting vulnerability of sensor of electric power internet-of-things equipment

By constructing multiple types of detection signal element sets and feature matrix analysis methods, the difficulty of sensor vulnerability detection is solved, and comprehensive vulnerability detection of power IoT device sensors is achieved, with high accuracy and wide application.

CN119740035APending Publication Date: 2025-04-01CHINA ELECTRIC POWER RESEARCH INSTITUTE CO LTD +5
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Patent Information

Application Number
CN202411627215.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-14
Publication Date
2025-04-01

AI Technical Summary

Technical Problem

The difficulty in detecting sensor vulnerability in the prior art is that sensor vulnerability is inherently implicit and difficult to characterize, and the detection signal is difficult to construct, resulting in a small application range, high cost and low detection accuracy.

Method used

By constructing a detection signal element set, including time domain information, frequency domain information, power information, signal waveform and signal type elements, multiple types and multiple complexities are generated. Using feature matrix construction and analysis methods, differentiate the vulnerabilities of various sensors of feature coupling.

Benefits of technology

It realizes comprehensive vulnerability detection of power IoT device sensors, and has the advantages of diverse structural methods, easy to implement, low cost, high detection accuracy and wide application range.

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Abstract

The invention discloses a method and a system for detecting the vulnerability of a sensor of electric power internet of things equipment, and the method comprises the steps: constructing a signal element set for detection, constructing an excitation signal for detecting the vulnerability of a to-be-detected sensor based on the element set and the type of the to-be-detected sensor, the method comprises the following steps: constructing a sensor to be detected, transmitting a constructed excitation signal to the sensor to be detected, collecting an output signal of the sensor in response to the excitation signal, performing feature extraction on the collected output signal so as to construct a feature matrix, and performing spatial transformation and clustering matching on the feature matrix so as to determine the vulnerability type of the sensor to be detected. The method has the outstanding advantages of wide application range, low cost, high sensor vulnerability detection accuracy and the like.
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