DTU safety monitoring method based on side channel

Abstract

The invention discloses a DTU safety monitoring method based on a side channel, and belongs to the technical field of power terminal equipment safety. The invention helps solve the defects that an existing method is insufficient in safety protection and needs a negative sample to carry out model training. By analyzing the characteristics of power consumption data, a feature vector capable of reflecting DTU power consumption data changes is selected, and an appropriate machine learning algorithm is selected on the basis of the feature vector. LSTM has good memory capability on long-term information and is good at capturing internal structure information of the time series. Therefore, KSTM can predict the time series on different time scales, can well fit the original time series information, and uses the time series prediction capability of LSTM to achieve the purpose of anomaly detection. The method is a non-intrusive safety monitoring method, does not occupy operation resources of equipment, and does not introduce new potential attack points. The method is beneficial to improving the overall safety protection level of an intelligent power grid and guaranteeing safe and stable operation of the intelligent power grid.

Description

technical field [0001] The invention belongs to the technical field of power terminal equipment safety, and in particular relates to a side channel-based DTU safety monitoring method. Background technique [0002] The smart grid can make comprehensive use of various available information to improve the intelligence level of power system generation, transmission, distribution, and consumption, so as to meet the needs of energy saving, environmental protection and cleanliness, optimized resource allocation, and safe and reliable power supply. , flexible interaction, friendly and open, clean and environmentally friendly". The interaction between the supply and demand sides of the power consumption side is one of the basic characteristics of the smart grid. The Advanced Metering Infrastructure (AMI) based on the intelligent terminals with two-way communication capabilities is the basis for realizing information interaction and interactive power consumption. AMI is a complete sy...

AI Technical Summary

Problems solved by technology

1) Due to the limited computing resources of the smart terminal and AMI's strict requirements on data transmission time, it is difficult to adopt encryption and signature algorithms with high security levels

2) Even if the smart terminal on the user side adopts a strict access control mechanism and a secure communication mechanism, it is still difficult to guarantee the security loopholes of the operating system itself.

3) Due to the limited computing, storage and communication resources of the smart terminal

However, for a PLC or power terminal, it is almost impossible to obtain attack samples, and with different attack cases, the power consumption will vary greatly, so the effect of unknown attack monitoring will vary. poor or even ineffective

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