A robust authentication scheme for remote diagnosis and maintenance in 5G V2N

In recent years, with the rapid development of communication networks, Vehicle to Network (V2N) arises at the historic moment. Particularly, due to the characteristics of fifth-Generation (5G) networks including low network latency and high data rate, vehicles can enjoy remote services in a real-time, high-quality and low-cost way. The Third Generation Partnership Project (3GPP) and the European Telecommunications Standards Institute (ETSI) have confirmed that remote diagnosis should be one of the development cores of Vehicle to everything (V2X). However, as vehicle safety is directly attached to the passengers’ safety, it is also a key point to ensure the security of remote diagnosis and maintenance services. In this paper, based on extended Chebyshev chaotic maps, we propose a robust authentication scheme for remote diagnosis and maintenance in 5G V2N. In the proposed scheme, to achieve strong security, anybody, such as the vehicle owner or the Vehicle Service Center (VSC) employee, must enter the valid biometrics and password before enjoying or providing remote diagnosis and maintenance services, and the vehicle and the VSC should authenticate each other to ensure that they are legitimate. Security analysis and performance analysis results show that the proposed scheme provides robust security with ideal efficiency.