Electric power Internet of Things terminal equipment side channel safety monitoring method based on adversarial reinforcement learning

Abstract

The invention discloses an electric power Internet of Things terminal equipment side channel safety monitoring method based on adversarial reinforcement learning, and belongs to the field of intelligent power grid safety. The method comprises the following steps: performing preprocessing and statistical analysis on power consumption side channel information of terminal equipment, determining a feature combination related to the change of the working state of the terminal equipment, and taking preprocessed side channel features as the input of an anomaly monitoring model; using historical sidechannel data of the terminal equipment in a normal working state as a normal sample to be input into the anomaly monitoring model; and training a single-classification-based exception monitoring modelin various normal working states, and verifying the effectiveness and performance of the terminal equipment exception monitoring model based on the side channel information through new terminal equipment exception state data. In the actual monitoring process, an anomaly monitoring agent is adopted to automatically select a single anomaly monitoring model execution program, adaptive adjustment ofalgorithm complexity is achieved, accuracy and rapidity are both considered, and the safety performance of the electric power Internet of Things terminal equipment is improved.

Description

technical field [0001] The invention belongs to the field of smart grid security, and relates to a side channel security monitoring method for electric power Internet of Things terminal equipment based on confrontation reinforcement learning. Background technique [0002] The security of power IoT terminal equipment is a part of power system security protection. In each link of the smart grid, all kinds of smart power IoT terminals, such as power distribution terminals, smart meters, power mobile operation terminals and other equipment, are closely related to power supply guarantees. The key link is related to the country's political stability, economic development and social harmony. Therefore, the safety and controllability of various power Internet of Things terminals is an important basis for building the Energy Internet. With the continuous expansion of the scale of the power grid and the diversified development of the power grid links, some power Internet of Things t...

AI Technical Summary

Problems solved by technology

At present, the firmware of power grid smart terminals is formulated by the manufacturer when it leaves the factory. It often lacks a corresponding attack and intrusion monitoring system, and the computing and storage resources of power IoT terminal equipment are limited. Terminals often cannot deploy complex artificial intelligence algorithms. Even if they are deployed, they cannot be accurate. speed and speed of monitoring

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