Integrated detection method of edge side cloned node based on counterpropagation neural network

Abstract

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.

Description

technical field [0001] The present invention relates to the security protection of terminals or nodes, in particular to an integrated detection method for edge side clone nodes based on backpropagation neural network. Background technique [0002] The principle of the clone node attack is that the attacker captures the legal nodes in the network and obtains all their legal information, copies several nodes with the same ID and key information, and puts these clone nodes in different locations in the network to launch the attack . Because the cloned node has the same ID and key information as the legitimate node, it is difficult for the traditional cryptography-based authentication mechanism to detect the cloned node. How to quickly and efficiently detect clone nodes and isolate them has become the key to preventing clone node attacks. [0003] The principle of the clone detection scheme based on channel information is that if the same ID corresponds to different physical l...

AI Technical Summary

Problems solved by technology

Therefore, it not only increases the computing load of the central network, but also increases the network transmission load and the delay of clone detection.

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