Title: Local vulnerability monitoring method of power communication data based on Compertz model

Authors: Min Peng

Addresses: School of Artificial Intelligence, Wuhan Technology and Business University, Wuhan, 430065, China

Abstract: In order to overcome the problems of poor adaptability and long monitoring time of traditional vulnerability monitoring methods, a local vulnerability monitoring method of power communication data based on Compertz model is designed in this paper. Firstly, the capability of summarising power communication data is improved by setting the measurement coefficient of sensor acquisition. Then, the Compertz model is used to analyse the attack situation of the network with data vulnerability. The vulnerable area is then divided. Finally, in the area where local data vulnerability may exist, local data vulnerability monitoring is completed according to the feature retrieval value of data node transmission process. Experimental results show that the accuracy of the monitoring results of this method is always more than 92.59%, the monitoring time is always less than 3 s, and it can classify the data security of power communication network more accurately.

Keywords: power communication data; local vulnerability; vulnerability monitoring; sensor acquisition unit; Compertz model; regional division.

DOI: 10.1504/IJPEC.2022.128202

International Journal of Power and Energy Conversion, 2022 Vol.13 No.2, pp.182 - 193

Received: 14 Jul 2022
Accepted: 03 Oct 2022
Published online: 11 Jan 2023 *

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