The construction of virtual transportation networks requires massive data to be transmitted from edge devices to Virtual Service Providers (VSP) to facilitate circulations between the physical and virtual domains in Metaverse. Leveraging semantic communication for reducing information redundancy, VSPs can receive semantic data from edge devices to provide varied services through advanced techniques, e.g., AI-Generated Content (AIGC), for users to explore digital worlds. But the use of semantic communication raises a security issue because attackers could send malicious semantic data with similar semantic information but different desired content to break Metaverse services and cause wrong output of AIGC. Therefore, in this paper, we first propose a blockchain-aided semantic communication framework for AIGC services in virtual transportation networks to facilitate interactions of the physical and virtual domains among VSPs and edge devices. We illustrate a training-based targeted semantic attack scheme to generate adversarial semantic data by various loss functions. We also design a semantic defense scheme that uses the blockchain and zero-knowledge proofs to tell the difference between the semantic similarities of adversarial and authentic semantic data and to check the authenticity of semantic data transformations. Simulation results show that the proposed defense method can reduce the semantic similarity of the adversarial semantic data and the authentic ones by up to 30% compared with the attack scheme.
翻译:虚拟运输网络的建设要求从边缘设备向虚拟服务提供商(VSP)传输大量数据,以方便Metevevy物理和虚拟域际的循环。利用语义通信来减少信息冗余,VSPs可以从边缘设备接收语义数据,以便通过先进的技术,例如AI-Generate Enterm(AIGC),为用户探索数字世界提供多种服务。但是使用语义通信引起了安全问题,因为攻击者可以发送恶意语义数据,提供类似的语义信息,但需要的内容不同,以打破Metevy服务,并造成AIGC的错误输出。因此,在本文中,我们首先提议为AIGC在虚拟运输网络的服务提供一个块链辅助语义通信框架,以便利在VSPs和边缘设备之间的物理和虚拟域际互动。我们演示基于培训的语义攻击计划,以通过各种损失功能生成对抗语义语义数据。我们还设计了一种语义防御计划,使用构系链和零知识证据来显示攻击性攻击性服务的语义性相似性相似性相似性近似和真实性地震防御数据的真实性数据,从而检查Simmanmantial数据的真实性数据。