Attack identification method and smart energy power control device based on deep neural network

Abstract

The invention provides a micro-network attack recognition method based on a deep neural network, which includes collecting messages transmitted by a smart energy power control device; preprocessing the messages; and inputting the preprocessed messages into a deep neural network model for further processing. Classification to obtain classification results; according to the classification results, corresponding processing is carried out, and the processing includes when there are messages under network attacks in the attack class, corresponding alarm prompts are generated according to the attack type to generate alarm information for display and corresponding log generation Record, and intercept the message at the same time; when the messages are all normal, send the message. The invention also provides a smart energy power control device. Compared with the existing technology, it ensures the safe and reliable operation of the microgrid.

Description

technical field [0001] The invention relates to a power grid system, in particular to an attack identification method based on a deep neural network and a smart energy power control device. Background technique [0002] With the continuous progress and development of human society, the demand and requirements for energy are increasing, and the shortage of energy restricts the development of social economy to a certain extent; the extensive use of traditional fossil energy by humans has caused a series of environmental problems These problems also reflect the defects of the traditional power system to a certain extent. In order to solve the above problems or contradictions, the concept of micro-grid is proposed for comprehensive energy utility such as wind energy, solar energy and other new clean energy. Microgrid: also known as microgrid, refers to a small power generation and distribution system composed of distributed power sources, energy storage devices, energy conversi...

AI Technical Summary

Problems solved by technology

However, at this stage, the information security management capabilities of smart devices in the micro-grid are weak, and they do not have the function of intrusion and fault tolerance. Especially as the micro-grid becomes more and more intelligent and informationized, information / network attacks will become the norm. Failure to actively detect and identify these attacks will endanger the integrity and reliability of the information in the micro-grid. Attackers can also use these abnormal information or use the smart energy power control device as a springboard to further attack the upper system

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