The heterogeneous networks which collaborate among Space, Air, Ground, and Sea (SAGS) networks significantly promote the development of the Internet of Things (IoT). Billions of IoT devices in SAGS networks generate massive data to support various applications. We argue that it is crucial to construct a Collaboration Trust Interconnections System (CTIS) to provide the ubiquitous SAGS network accessibility and security. In this paper, a CTIS framework among the Unmanned Aerial Vehicles (UAV), Mobile Vehicles (MVs), and IoT devices is proposed to evaluate trust and select low-cost and high-trust participants to improve data quality. In this framework, MVs record the interaction information to form the verification chains, while the UAV is dispatched to collect baseline data to verify the data reported by MVs, thereby constructing global trust. Then, the hash values of baseline data are delivered to MVs to act as calibration baseline data, which provides a verification certificate for interactions among MVs and constructs local interaction trust. Finally, a greedy-based winner recruitment strategy is proposed to achieve intelligent information control with maximum credibility and cost. The simulation results show that the CTIS framework reduces the cost by 5.62%, reduces the false ratio and packet dropping rate by at least 17.16% and 31.51% compared with previous schemes.

中文翻译：

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无处不在的5G网络中用于移动信息控制的智能协作信任互连系统

在空间，空中，地面和海洋（SAGS）网络之间协作的异构网络极大地促进了物联网（IoT）的发展。SAGS网络中数十亿个IoT设备生成大量数据以支持各种应用程序。我们认为，构建协作信任互连系统（CTIS）以提供无处不在的SAGS网络可访问性和安全性至关重要。本文提出了无人飞行器（UAV），移动车辆（MV）和IoT设备之间的CTIS框架，以评估信任度并选择低成本和高信任度参与者以提高数据质量。在此框架中，MV记录交互信息以形成验证链，而派遣无人机收集基线数据以验证MV报告的数据，从而建立全球信任。然后，基线数据的哈希值被传递到MV，作为校准基线数据，为MV之间的交互提供验证证书，并构建本地交互信任。最后，提出了一种基于贪婪的获奖者招募策略，以实现最大程度的信誉和成本的智能信息控制。仿真结果表明，与以前的方案相比，CTIS框架将成本降低了5.62％，错误率和丢包率分别降低了17.16％和31.51％。提出了一种基于贪婪的获奖者招募策略，以实现最大程度的信誉和成本的智能信息控制。仿真结果表明，与以前的方案相比，CTIS框架将成本降低了5.62％，错误率和丢包率分别降低了17.16％和31.51％。提出了一种基于贪婪的获奖者招募策略，以实现最大程度的信誉和成本的智能信息控制。仿真结果表明，与以前的方案相比，CTIS框架将成本降低了5.62％，错误率和丢包率分别降低了17.16％和31.51％。