Trust Assessment in Vehicular Social Network Based on Three-Valued Subjective Logic
Trust Assessment in Vehicular Social Network Based on Three-Valued Subjective Logic
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DOI：
10.1109/tmm.2019.2891417
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发表时间：
2019-01
影响因子：
7.3
通讯作者：
Tong Cheng;Guangchi Liu;Q. Yang;Jianguo Sun
中科院分区：
文献类型：
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作者：
Tong Cheng;Guangchi Liu;Q. Yang;Jianguo Sun
车载网络中的可信性对于促进车辆之间的数据共享以实现更好的驾驶安全和便利性起着至关重要的作用。如果没有可信度评估，车辆可能无法信任其他车辆，因此，只需丢弃从其他车辆共享的数据，以避免潜在的驾驶危险。这个问题传统上是通过保护数据安全来解决的；然而，不幸的是，对数据生成器(车辆)可信度的研究被遗漏了。我们设想在道路上存在车载社交网络，其中相互交换数据的车辆被认为是社交连接的。利用车载社交网络中的信任传播和融合，可以准确地评估单个车辆的可信性。采用三值主观逻辑模型对车辆间信任进行研究，提出了一种整体性的车载社交网络信任评估方案。提出的解决方案能够以分布式的方式对车辆进行客观和主观的信任评估。仿真结果表明，该方案具有更高的信任度和更快的信任度。
Trustworthiness in a vehicular network plays a vital role in facilitating data sharing among vehicles to achieve better driving safety and convenience. Without trustworthiness assessment, a vehicle may not be able to trust other vehicles and, therefore, simply drop the data shared from others to avoid potential driving dangers. This problem was traditionally approached by protecting data security; however, the study of the trustworthiness of data generators (vehicles) is unfortunately omitted. We envision the existences of a vehicular social network on road, wherein vehicles exchanging data between each other are considered socially connected. Leveraging the trust propagation and fusion within a vehicular social network, the trustworthiness of individual vehicles can be accurately assessed. We adopt the three-valued subjective logic model to study trust between vehicles, and propose a holistic solution to trust assessment in vehicular social networks. The proposed solution enables objective and subjective trust assessment of vehicles, in a distributed manner. Simulation results indicate that the proposed solution offers a more accurate trust assessment and a quicker assessing time.