The invention discloses an integrated detection method of an edge side cloned node based on a counterpropagation neural network. The method comprises the following steps: S1. collecting, by an edge side computing node, a
data set; S2. training and testing a BPNN by using the
data set; S3. waiting for a new information packet; S4. extracting channel information from the information packet, storingreference channel information, and calculating a channel difference value; S5. accumulating the credibility of each node; S6. inputting the credibility of each node into the BPNN to judge whether a clone
attack exists; and S7. if no clone
attack exists, updating the reference channel information, and if the clone
attack exists, sending a clone attack alarm. According to the integrated detection method disclosed by the invention, integrated detection is performed on a
data source node on the edge side node by using the BPNN, meanwhile whether the clone attack exists in multiple nodes, thus improving the detection efficiency of the cloned node and reducing the network transmission load and the load of a central network. According to the integrated detection method disclosed by the invention,the influence of
random noise of a channel is also reduced by accumulating the credibility and classifying the BPNN, and the accuracy of the detection of the cloned node is improved.