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A Privacy Protection Scheme in VANETs Based on Group Signature

  • Xinxin LiuEmail author
  • Zhijuan Jia
  • Erfeng Xu
  • Bei GongEmail author
  • Lipeng Wang
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 960)

Abstract

At present, Vehicular Ad-Hoc Networks (VANETs) has been a hot research topic for researchers in the intelligent transportation. It can not only provide real-time traffic information for managers, but also provide effective safety protection for drivers. However, in practical applications, the communication between vehicles is in a real-time changing network environment, which may be eavesdropping, locating and tracking. Therefore, it is essential to preserve the privacy in VANETs. Based on the Chinese remainder theorem and DSA signature algorithm, this paper proposes an efficient revocable group signature privacy protection scheme for VANETs. It can not only protect the anonymity of the vehicles, but also provide traceability for the Trusted Authority (TA) when traffics escape. At the same time, it can provide revocable functions for the vehicles when they send malicious messages or are in dispute. From the proofs of correctness and security, we know that they can not only have the properties of traceability and anonymity, but also can resist against framed attacks. According to the performance verification, we obtain it can improve the efficiency of signatures and meet the demand for real-time and efficient for VANETs.

Keywords

Vehicular Ad-Hoc Networks (VANETs) Group signature Chinese remainder theorem DSA signature algorithm 

Notes

Acknowledgments

This work was supported by the National Natural Science Funds (U1304614, U1204703), the construct program of the key discipline in Zhengzhou Normal University, aid program for Science and Technology Innovative Research Team of Zhengzhou Normal University, Henan Province Education Science Plan General Topic “Research on Trusted Degree Certification Based on Blockchain” ((2018)-JKGHYB-0279).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Information Science and TechnologyZhengzhou Normal UniversityZhengzhouChina

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