PPTM: A Privacy-Preserving Trust Management Scheme for Emergency Message Dissemination in Space–Air–Ground-Integrated Vehicular Networks

Abstract
Vehicular networks have tremendous potential to improve the road safety and traffic efficiency, and the adoption of the space–air–ground-integrated network (SAGIN) architecture in vehicular networks can greatly improve the performance of vehicular networks by leveraging the respective advantages of the space, air, and ground segments on coverage, flexibility, reliability, and availability, which results in space–air–ground-integrated vehicular networks (SAGIVNs). Trust management is an important tool for constructing trustworthy SAGIVNs, and privacy preservation is also a primary concern in SAGIVNs. They have conflicting requirements and a satisfactory balance between them is urgently required. In this article, we propose a novel privacy-preserving trust management (PPTM) scheme for the emergency message dissemination in SAGIVNs. The proposed scheme can realize precise trust management and strong conditional privacy preservation simultaneously with low communication overhead, and can provide strong applicability, strong robustness, and multiple other attractive features. Furthermore, the exhaustive theoretical analysis and simulation evaluation are detailed. The results reveal that the proposed scheme is significantly superior to the existing schemes in several aspects.
Funding Information
  • National Natural Science Foundation of China (61802146, 61906075, 61932011, U1736203, 61906074, 61602360)
  • Natural Science Foundation of Guangdong Province (2018A030313813)
  • Basic and Applied Basic Research Foundation of Guangdong Province (2019A1515011017, 2019A1515011920, 2019A1515011276)
  • Guangdong Provincial Key Research and Development Plan (202020022911500032)
  • Key Research and Development Plan of Xinjiang Production and Construction Corps (2019AB001)
  • China Postdoctoral Science Foundation (2019M650232)
  • Fundamental Research Funds for the Central Universities (11618332)
  • Guangdong Key Laboratory of Data Security and Privacy Preserving (2017B03031004)

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