Emerging six generation (6G) is the integration of heterogeneous wireless networks, which can seamlessly support anywhere and anytime networking. But high Quality-of-Trust should be offered by 6G to meet mobile user expectations. Artificial intelligence (AI) is considered as one of the most important components in 6G. Then AI-based trust management is a promising paradigm to provide trusted and reliable services. In this article, a generative adversarial learning-enabled trust management method is presented for 6G wireless networks. Some typical AI-based trust management schemes are first reviewed, and then a potential heterogeneous and intelligent 6G architecture is introduced. Next, the integration of AI and trust management is developed to optimize the intelligence and security. Finally, the presented AI-based trust management method is applied to secure clustering to achieve reliable and real-time communications. Simulation results have demonstrated its excellent performance in guaranteeing network security and service quality.
翻译:新兴的六代(6G)是多种无线网络的整合,可以无缝地支持任何地方和任何时间的网络,但6G应提供高品质的互信,以满足移动用户的期望。人工智能(AI)被视为6G中最重要的组成部分之一。然后,基于AI的信托管理是提供可信和可靠服务的有希望范例。在本篇文章中,为6G无线网络提供了一种具有基因特征的对抗性学习驱动的信托管理方法。首先审查一些典型的基于AI的信托管理办法,然后推出一种潜在的多样化和智能6G架构。接下来,将AI和信任管理结合起来,以优化情报和安全。最后,提出的基于AI的信托管理方法被用于确保集群,以实现可靠和实时通信。模拟结果表明其在保障网络安全和服务质量方面的出色表现。