As the next-generation network, beyond fifth generation (B5G) provides transmission capability up to terabits and processes hundreds of exabytes of content data per day from the internet of Everything. From 5G to B5G, the information-centric network (iCN) is expected to play a vital role due to the strong capabilities of content distribution, caching, and processing. As security is a major concern in B5G, content trust of iCN is of critical importance. Lack of content trust leads to the untrustworthiness and maliciousness of services and applications in B5G, such as malicious accidents resulting from the untrusted content of vehicle navigation and autonomous system. To deal with this issue, we propose a blockchain and artificial intelligence (Ai) empowered trust-information- centric network architecture for B5G. First, we design a blockchain-based trust evaluation and circulation scheme for B5G nodes called TrustCoin, which quantifies the credibility of B5G nodes in a dynamic and fine-grained way, and manages trust quotas of B5G nodes as well as trust-coin circulation. Second, to obtain the content credibility, we devise a credibility decision method based on content status and B5G nodes' behaviors by exploiting the excellent properties of deep reinforcement learning, which provides the intelligent allocation criterion for TrustCoin. Third, we propose a smart incentive mechanism for the endogenous trust of B5G networks according to the allocation criterion, thereby establishing the trust-information-centric network. Experimental results have verified the effectiveness of our proposed mechanism.

中文翻译：

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超越5G的区块链和AI增强了信任信息中心网络

作为下一代网络，超越第五代（B5G）的传输能力高达兆兆比特，每天从万物互联中处理数百EB的内容数据。从5G到B5G，由于内容分发，缓存和处理的强大功能，以信息为中心的网络（iCN）有望发挥至关重要的作用。由于安全是B5G中的主要问题，因此iCN的内容信任至关重要。缺乏内容信任会导致B5G中服务和应用程序的不信任和恶意，例如由于车辆导航和自治系统的不信任内容而导致的恶意事故。为了解决这个问题，我们提出了一种以区块链和人工智能（Ai）为基础，以信任信息为中心的B5G网络架构。第一，我们为B5G节点设计了一种基于区块链的信任评估和流通方案，称为TrustCoin，它以动态，细粒度的方式量化B5G节点的信誉，并管理B5G节点的信任配额以及信任币的流通。其次，为了获得内容可信度，我们利用深度强化学习的优良特性设计了一种基于内容状态和B5G节点行为的可信度决策方法，为TrustCoin提供了智能的分配标准。第三，根据分配准则，提出了一种针对B5G网络内生信任的智能激励机制，从而建立了以信任信息为中心的网络。实验结果证明了我们提出的机制的有效性。