Abstract
Internet of Vehicles (IoVs) play an essential role in traffic safety and travel efficiency. However, there is still risk where malicious vehicles without validation or evaluation, to tamper with messages and pollute network with compromised information. Upon fruitful computing resource in 6G, this paper proposes a Provenance-Driven dynamic Trust Management (PDTM) model for IoVs. PDTM integrates data provenance into the trust evaluation of vehicles and messages. Different from literature that only evaluates trust through vehicle, the high reliability of Road Side Unit (RSU) is concerned herein. Specifically, the recommendation trust is calculated by RSU, to eliminate false recommendations of malicious vehicles. Considering the dynamic and real-time nature of trust, this paper proposes a global-based threshold update mechanism. The mechanism can dynamically adjust the threshold, according to the trust value of vehicles. Simulation experiments verify the validity of PDTM in the detection rate of malicious vehicles and delivery rate of authentic messages.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
