An anonymous authentication scheme for edge computing-based car-home connectivity services in vehicular networks

With the rapid development of Internet of Things technology, the interconnection between objects has become more and more popular, particularly in the fields of smart home and intelligent transport systems. Car-home connectivity services allow the user to monitor and control home appliances while driving a car on the road. Such services can be deployed on edge servers in vehicular networks for low latency and user privacy. However, privacy issue is a big challenge for this application since user's sensitive information such as driving route, home location, even connection between car and home are vulnerable to be disclosed and abused. To address this issue, the paper proposes an anonymous authentication scheme based on efficient cryptographic building blocks for privacy-preserving car-home connectivity services. The scheme covers the IEEE standard WAVE stack and the higher layer facilitating anonymous authentication for security services. As a result, it allows the user driving in a car to interact with home appliances without sensitive information being leaked to any edge server or roadside unit. Meanwhile, a misbehaving user can be inspected against anonymity with his/her identity being retrieved by authority. The performance analysis shows that the proposed anonymous authentication scheme outperforms some other related works in vehicular network environment, with respect to communication overhead, computation overhead, signaling cost, serving ratio, and authentication delay. (C) 2020 Elsevier B.V. All rights reserved.