A Trusted Mobile Ride-Hailing Evaluation System With Privacy and Authentication

Abstract

At present, the ride-hailing platform is numerous in the market. The platform scoring system also allows users to rate drivers and help users make decisions for drivers for reference. However, possible false scores may adversely affect user choice and trust. Previous studies on the ride-hailing system mostly focused on user waiting time improvement and scoring system construction, but lacked suggestions for improvement in scoring reliability. In order to improve the reliability, this paper proposes a new secure scoring mechanism, which is based on social network and can achieve the confidentiality and authentication of ratings. It provides the privacy of the scorer's identity and allows users to identify and authenticate their friends' ratings. The proposed method can be applied to a ride-hailing platform such as Uber and has proven to be secure and efficient. We also implemented this system on Android phones to prove the feasibility of the system. As far as we know, this paper is the first to propose a mobile ride-hailing evaluation system with privacy and authentication.