An Intelligent Collaboration Trust Interconnections System for Mobile Information Control in Ubiquitous 5G Networks

• Published in: IEEE transactions on network science and engineering Vol. 8; no. 1; pp. 347 - 365
• Main Authors: Huang, Shaobo, Zeng, Zhiwen, Ota, Kaoru, Dong, Mianxiong, Wang, Tian, Xiong, Neal N.
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 5G mobile communication; Collaboration; Collaboration trust interconnections system; Electronic devices; Heterogeneous networks; Information control; Intelligent information control; Interconnections; Internet of Things; Reliability; Task analysis; Ubiquitous 5G networks; Unmanned aerial vehicles; Verifiable trust evaluation; Verification; Wireless networks
• ISSN: 2327-4697; 2334-329X
• DOI: 10.1109/TNSE.2020.3038454

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.