Efficient Blockchain-Based Pseudonym Authentication Scheme Supporting Revocation for 5G-Assisted Vehicular Fog Computing
Document Type
Article
Publication Date
1-1-2024
Abstract
The driving experience in fifth-generation (5G)-assisted vehicular fog computing systems has improved thanks to recent advancements in intelligent transportation. However, in the present vehicular system setup, the phenomenon of providing low computation overhead with massive serving capability is crucial. In the existing scenario, the computational complexity rises when an authenticated driver travels from one roadside unit (RSU) area to another RSU region and must undergo re-authentication by the existing RSU. In this paper, an efficient blockchain-based pseudonym authentication scheme to address these issues and avoiding using RSU for 5G-assisted vehicular fog computing. The pseudonym identity generated for each vehicles and fog servers in order to exchange information about the road environment. The proposed scheme avoids re-authentication by the future fog server by utilising bilinear pairing of points on the elliptic curve and utilising blockchain technology without the need for a trusted authority. For fog computing, fog server obtains the verification key to authenticate the messages sent from vehicles for supporting revocation. The security analysis part of this work shows that the proposed scheme is not only satisfy requirements of security and privacy, but also resistance security attacks. Finally, the evaluation of the proposed scheme's performance shows that it is more efficient than existing schemes with regards to computation cost, verification speed, and energy consumption.
Keywords
Authentication, Security, Servers, Privacy, Edge computing, Blockchains, Computer science, 5G mobile communication, Vehicle dynamics, Advanced driver assistance systems, Blockchain, revocation, fog server, pseudonym authentication, fifth generation(5g), vehicular fog computing
Divisions
Software
Funders
University of Hail Majmaah University
Publication Title
IEEE Access
Volume
12
Publisher
Institute of Electrical and Electronics Engineers
Publisher Location
445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA