A mutual authentication scheme in VANET providing vehicular anonymity and tracking

Jiabei He (), Xuchong Liu (), Fan Wu (), Chaoyang Chen and Xiong Li
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Jiabei He: Hunan University of Science and Technology
Xuchong Liu: Hunan Police Academy
Fan Wu: Xiamen Institute of Technology
Chaoyang Chen: Hunan University of Science and Technology
Xiong Li: University of Electronic Science and Technology of China

Telecommunication Systems: Modelling, Analysis, Design and Management, 2022, vol. 81, issue 2, No 1, 175-190

Abstract: Abstract Nowadays, the intelligent transportation system (ITS) has developed prosperously all over the world. As a key technique in ITS, vehicular ad-hoc network (VANET) supports fast transmitting while bringing security problems simultaneously. To ensure efficiency, those unprotected data transmitting at a high speed can be easily eavesdropped on or forged, which will badly damage the ITS. To authenticate the identities of the vehicles in VANETs, signatures with certificates are often employed in historical research, but seldom study discusses the protection of generated data or mutual authentication between participants in VANETs. In order to tackle the problems above, we propose a new mutual authentication scheme for VANET where the private data can be kept away from attackers. In our scheme, the corresponding manager of each region can deal with the dynamic information of vehicles. The security analysis is also carried out and shown to emphasize the reliability of the scheme, such as anonymity, unlinkability and resistance to replay attacks, etc. Besides the resistance to different attacks, the real-time information secrecy can also be protected in our scheme, which is not achieved in the compared schemes. Moreover, the performance evaluation and simulation with NS-3 show that the packet delivery ratio reaches over 99% in most of the application scenarios, which proves that the scheme is efficient and practical.

Keywords: Mutual; Authentication; Traceability; VANET; Anonymity; NS-3 (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11235-022-00911-4

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