A Secure Batch Authentication Scheme for Multiaccess Edge Computing in 5G-Enabled Intelligent Transportation System

With the introduction of 5G technology in the intelligent transportation system (ITS), data bandwidth over communication channel is significantly increased. In the existing cloud-based ITS, a large-scale data is collected, stored, and analyzed to provide precise services to vehicle user, which creates a burden on the cloud service provider that can cause service delays or the inability to provide complex services. Multi-access edge computing (MEC) technology, which extends cloud capabilities to edge servers, is attracting attention in order to reduce the constraint of the cloud-based infrastructure. However, in ITS constructed on MEC, since vehicles exchange information through a wireless communication channel. It is vulnerable to various security attacks. This paper proposes a secure batch authentication scheme for multi-access edge computing in 5G-enabled ITS. The proposed scheme withstands common security attacks including impersonation, replay, man-in-the-middle, physical capture, offline password guessing attacks, and provides secure batch authentication, anonymity and confidentiality. We also consider the vehicle can cross the boundary between MEC servers for continuity of service. We analyze the security of the proposed scheme to show that the proposed scheme is secure against various security attacks, and performance analysis. Lastly, we conduct comparison with other related works.