A Privacy-Preserving Reliable Authentication Scheme for 6G-Enabled Internet of Vehicular Edge Computing Networks

Abstract

To meet the delay-awareness and compute-intensive requirements of the Internet of Vehicles (IoV) for providing smart driving assistance systems, the computational process is offloaded to different vehicles, Roadside Units (RSUs), or Vehicular Edge Computing (VEC) servers enabled by 6G networks. However, the untrustworthiness of node behavior makes meeting the security requirements and privacy constraints of vehicles a challenging task in 6G-enabled IoV edge networks. Recently, trust metrics have been designed to authenticate vehicles; however, the reliability of offloading aggregation has not been considered during the authentication process. This work introduces a novel edge-based aggregation model to improve fusion accuracy with higher noise levels to enhance vehicle privacy. A new approach, namely the Privacy-Preserving Reliable Authentication (PPRA) scheme, is proposed to support smart driving assistance systems. The PPRA scheme introduces an effective aggregation mechanism with higher noise levels and an incentive-based reputation model. Furthermore, a reliable authentication model is proposed to identify malicious and trusted vehicles. In addition, a Nash equilibrium game-based model is introduced to reduce communication failures in 6G-enabled Internet-of-VEC (IoVEC) networks. The PPRA scheme improves throughput and communication efficiency with minimal communication failures compared with the existing Enhanced Privacy-Preserving Security (EPPS) method.