Visible to the public A Trust-based Real-time Map Updating Scheme

TitleA Trust-based Real-time Map Updating Scheme
Publication TypeConference Paper
Year of Publication2019
AuthorsLai, Chengzhe, Du, Yangyang, Men, Jiawei, Zheng, Dong
Conference Name2019 IEEE/CIC International Conference on Communications in China (ICCC)
Date Publishedaug
Keywordsaccurate traffic information, anonymity, automatic driving, Bayesian inference model, blockchain, data privacy, false trust, fog node, Global Positioning System, high-precision map service, Internet of Vehicles, malicious vehicles, message source vehicle, policy-based governance, Policy-Governed Secure Collaboration, privacy, pubcrawl, Public key, real-time map updating, Real-time Systems, resilience, Resiliency, road condition information, Roads, Scalability, security analysis, security of data, Servers, Sybil attack prevention, telecommunication traffic, timely traffic information, traffic information systems, Trust, trust value offset

The real-time map updating enables vehicles to obtain accurate and timely traffic information. Especially for driverless cars, real-time map updating can provide high-precision map service to assist the navigation, which requires vehicles to actively upload the latest road conditions. However, due to the untrusted network environment, it is difficult for the real-time map updating server to evaluate the authenticity of the road information from the vehicles. In order to prevent malicious vehicles from deliberately spreading false information and protect the privacy of vehicles from tracking attacks, this paper proposes a trust-based real-time map updating scheme. In this scheme, the public key is used as the identifier of the vehicle for anonymous communication with conditional anonymity. In addition, the blockchain is applied to provide the existence proof for the public key certificate of the vehicle. At the same time, to avoid the spread of false messages, a trust evaluation algorithm is designed. The fog node can validate the received massages from vehicles using Bayesian Inference Model. Based on the verification results, the road condition information is sent to the real-time map updating server so that the server can update the map in time and prevent the secondary traffic accident. In order to calculate the trust value offset for the vehicle, the fog node generates a rating for each message source vehicle, and finally adds the relevant data to the blockchain. According to the result of security analysis, this scheme can guarantee the anonymity and prevent the Sybil attack. Simulation results show that the proposed scheme is effective and accurate in terms of real-time map updating and trust values calculating.

Citation Keylai_trust-based_2019