Full duplex end-to-end automatic encoder communication system and anti-eavesdropping method thereof

Abstract

The invention provides a full-duplex end-to-end automatic encoder communication system and an anti-eavesdropping method thereof, the full-duplex end-to-end automatic encoder communication system comprises a transmitter, a legal receiver and an eavesdropper, confidential information transmitted by the transmitter is transmitted to a wireless channel after being encoded by a multilayer neural network and a normalization layer; additive white Gaussian noise and an anti-disturbance signal in a wireless channel are added by a noise layer, and a confidential signal is decoded from a signal reachinga legal receiver through a multi-layer neural network and a softmax activation layer. Classification precision of the tapping network can be greatly reduced with relatively low power, so that the biterror rate of the tapping is greatly increased, and safe transmission of information between legal nodes is effectively protected; according to the full-duplex legal receiver, on one hand, disturbanceof a loop-back channel is reduced through an interference elimination method, and on the other hand, training is carried out through an adversarial training method, so that the legal receiver can resist self-disturbance from the loop-back channel, and therefore it is guaranteed that the bit error rate of the legal receiver cannot be increased due to self-disturbance.

Description

technical field [0001] The invention relates to an anti-eavesdropping method of a full-duplex end-to-end automatic encoder communication system, belonging to the technical field of wireless communication physical layer security transmission. Background technique [0002] Due to the broadcast and openness of wireless channels, secure communication encounters great challenges. Different from key-based encryption technology, physical layer security based on information theory fully utilizes the inherent characteristics of wireless channels to enhance security performance. In order to improve the security rate of information transmission, the eavesdropping of malicious nodes can be interfered to a certain extent through techniques such as artificial noise and cooperative interference. At present, it is typical that the full-duplex receiver sends interference noise to increase the security capacity and improve the security performance. However, the legal receiver itself will be...

AI Technical Summary

Problems solved by technology

When there are malicious eavesdropping nodes based on autoencoders in the communication network, in order to reduce the eavesdropping ability of malicious nodes, disturbance variables can be designed according to the characteristics of neural networks, so that the decoding performance of malicious eavesdropping nodes drops sharply

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