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arXiv · 2509.20830

Trustworthy Semantic Communication for Vehicular Networks: Challenges and Solutions

Yanghe Pan·Yuntao Wang·Shaolong Guo·Chengyu Yin·Ruidong Li·Zhou Su·Yuan Wu
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Abstract

Semantic communication (SemCom) has the potential to significantly reduce communication delay in vehicle-to-everything (V2X) communications within vehicular networks (VNs). However, the deployment of vehicular SemCom networks (VN-SemComNets) faces critical trust challenges in information transmission, semantic encoding, and communication entity reliability. This paper proposes an innovative three-layer trustworthy VN-SemComNet architecture. Specifically, we introduce a semantic camouflage transmission mechanism leveraging defensive adversarial noise for active eavesdropping defense, a robust federated encoder-decoder training framework to mitigate encoder-decoder poisoning attacks, and an audit game-based distributed vehicle trust management mechanism to deter untrustworthy vehicles. A case study validates the effectiveness of the proposed solutions. Lastly, essential future research directions are pointed out to advance this emerging field.

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Yanghe Pan, Yuntao Wang, Shaolong Guo, Chengyu Yin, Ruidong Li, Zhou Su, Yuan Wu. 2025-09-25. Trustworthy Semantic Communication for Vehicular Networks: Challenges and Solutions. https://arxiv.org/abs/2509.20830

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