A lightweight authentication and privacy-preserving scheme for VANETs using TESLA and Bloom Filters

Abstract

Abstract In Vehicular Ad hoc Networks (VANETs), broadcasted beacon messages are critical as most safety applications rely on them. However, the design of a secure broadcast authentication faces many security and privacychallenges as vehicles are vulnerable to active attacks and the revealing of location. In this paper, we propose a lightweight authentication scheme using Timed Efficient Stream Loss-Tolerant Authentication (TESLA) scheme and Bloom Filters that not only prevents active attacks but also adds a privacy-preserving feature to make the scheme have better performance. Simulation results indicate the scheme outperforms the existing schemes in terms of verification time and the level of anonymity.