Visible to the public A Trust-Based Security Scheme for 5G UAV Communication Systems

TitleA Trust-Based Security Scheme for 5G UAV Communication Systems
Publication TypeConference Paper
Year of Publication2020
AuthorsSu, Yu, Zhou, Jian, Guo, Zhinuan
Conference Name2020 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
Date PublishedAug. 2020
PublisherIEEE
ISBN Number978-1-7281-6609-4
Keywords5G communication, 5G mobile communication, Autonomic Security, Communication systems, composability, Computer architecture, false trust, human factors, Metrics, Pervasive Computing Security, policy-based governance, pubcrawl, reliability, resilience, Resiliency, Scalability, security, simulation, trust evaluation, unmanned aerial vehicles, Unmanned Aerial Vehicles (UAVs)
AbstractAs the increasing demands of social services, unmanned aerial vehicles (UAVs)-assisted networks promote the promising prospect for implementing high-rate information transmission and applications. The sensing data can be collected by UAVs, a large number of applications based on UAVs have been realized in the 5G networks. However, the malicious UAVs may provide false information and destroy the services. The 5G UAV communication systems face the security threats. Therefore, this paper develops a novel trust-based security scheme for 5G UAV communication systems. Firstly, the architecture of the 5G UAV communication system is presented to improve the communication performance. Secondly, the trust evaluation scheme for UAVs is developed to evaluate the reliability of UAVs. By introducing the trust threshold, the malicious UAVs will be filtered out from the systems to protect the security of systems. Finally, the simulation results have been demonstrated the effectiveness of the proposed scheme.
URLhttps://ieeexplore.ieee.org/document/9251217
DOI10.1109/DASC-PICom-CBDCom-CyberSciTech49142.2020.00072
Citation Keysu_trust-based_2020