Anomaly detection method of packet loss node location in heterogeneous hash networks

Abstract When the current method is used to detect the location anomaly of packet loss nodes in heterogeneous hash networks, the detection takes a long time, and the detection results obtained have large errors, which have the problems of low detection efficiency and low accuracy. This paper presents an anomaly detection method for packet loss node location in heterogeneous hash networks, The node distribution model and heterogeneous hash network topology are constructed, It provides relevant information for location anomaly detection of packet loss nodes, The high-pass graph filter is used to process the network signal to obtain high-frequency components, divide heterogeneous hash networks, obtain specific frequency components corresponding to sub-graph output signals, judge sub-graph signals through thresholds, establish suspected abnormal node sets, and compare suspected abnormal node sets and sub-graph node sets to realize abnormal detection of packet loss node location. The experimental results show that the method has good positioning effect, high detection efficiency, and better detection effectiveness and stability than the comparative test method.