A secure semantic communication system based on knowledge graph

doi:10.23919/JCN.2025.000074

A secure semantic communication system based on knowledge graph

2026-01-06

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DOI：10.23919/JCN.2025.000074

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This study proposes a novel approach to ensure the security of textual data transmission in a semantic communication system. In the proposed system, a sender transmits textual information to a receiver, while a potential eavesdropper attempts to intercept the information. At the sender side, the text is initially preprocessed, where each sentence is annotated with its corresponding topic, and subsequently extracted into a knowledge graph. To achieve the secure transmission of the knowledge graph, we propose a channel encryption scheme that integrates constellation diagonal transformation with multiparameter weighted fractional Fourier transform (MP-WFRFT). At the receiver side, the textual data is first decrypted, and then recovered via a transformer model. Experimental results demonstrate that the proposed method reduces the probability of information compromise. The legitimate receiver achieves a bilingual evaluation understudy (BLEU) score of 0.9, whereas the BLEU score of the eavesdropper remains below 0.3. Compared to the baselines, the proposed method can improve the security by up to 20%.

Keywords:

Encryption

knowledge graph

relationship word graph

semantic communication

semantic extraction

semantic knowledge base

A secure semantic communication system based on knowledge graph

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