Secret key lossless transmission method based on semantic communication

By encoding key fragments into QR code images and performing channel simulation and reconstruction in a semantic communication model, the problem of lossless transmission of key distribution in complex environments is solved, achieving high reliability and bit-level integrity under low signal-to-noise ratio conditions.

CN121887392APending Publication Date: 2026-04-17XIAN UNIV OF TECH
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Patent Information

Application Number
CN202610079787.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-21
Publication Date
2026-04-17

AI Technical Summary

Technical Problem

Existing key distribution methods suffer from drastic performance degradation in complex environments such as offline, weak network, or low signal-to-noise ratio, making it difficult to meet the needs of edge computing and industrial IoT scenarios. Traditional semantic communication cannot guarantee complete bit-level consistency of key transmission, leading to key invalidation.

Method used

A semantic communication model is adopted, which constructs a structured semantic information carrier by encoding key fragments into QR code images. Channel simulation is used to simulate a noisy environment, and semantic information is reconstructed and decoded at the receiving end. Combined with hash verification, lossless key transmission is ensured.

Benefits of technology

It achieves reliable key transmission and bit-level integrity under complex channel conditions, improves decoding accuracy and stability, adapts to different channel degradation, and has versatility and scalability.

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Abstract

The invention discloses a secret key lossless transmission method based on semantic communication, and the method comprises the steps: 1, segmenting a to-be-transmitted secret key according to batches, adding a batch mark in front of each segment, and generating a corresponding two-dimensional code image through two-dimensional code coding; 2, a channel noise model is adopted to simulate the transmission process of key data, channels comprise additive Gaussian white noise and Rayleigh fading channels, the noise injection intensity is controlled by setting the signal-to-noise ratio, and the influence of channel noise on the key data is simulated; step 3, the receiving end uses the semantic communication model to restore and reconstruct the two-dimensional code image, and the definition and identifiability of the damaged two-dimensional code are improved; step 4, decoding the reconstructed two-dimensional code image, and recovering corresponding secret key data; and step 5, calculating and comparing the hash values of the restored key and the original key, and verifying the content integrity. According to the method, the recovery capability of the two-dimensional code under the condition of low signal-to-noise ratio is enhanced by introducing the semantic communication model, and the method has good robustness.
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