Network attacks identification method of relay protection devices communication system based on Fp-Growth algorithm

Abstract

In order to ensure the stable operation of relay protection device and identify untrusted data code attacks, this paper proposes a network attacks identification method for relay protection devices communication system based on frequent pattern-growth(FP-Growth) algorithm. Firstly, the transmission model of the communication system of the relay protection device is analyzed. The physical side and the communication side of the relay protection device are monitored through the real-time simulation platform to obtain the original data. Then, the original data are discretely quantized and encoded to generate the abnormal event sequence. Then, FP-Growth algorithm is used to analyze the association of the event sequence to obtain the longest and most frequent sequences. The new attacks categories and fault points are compared by the existing frequent sequence characteristics to determine the type of network attacks or the location of fault points, so as to realize the identification of malicious code attacks, and provide a theoretical basis for the application of trusted technology.