Efficient, fast and scalable authentication for VANETs

Abstract

Vehicular Ad Hoc Networks (VANETs) enable vehicle-to-vehicle communication to enhance road safety and improve driving experience. To secure periodic single-hop beacon messages for VANET applications, digital signature is one of the fundamental security approaches. However, it is vulnerable as excessive signatures would exhaust the computational resources of vehicles. In this paper, we propose a novel authentication mechanism VSPT, VANET authentication with Signatures and Prediction-based TESLA, which combines the advantages of both Elliptic Curve Digital Signature Algorithm (ECDSA) and Prediction-based TESLA. Although ECDSA is computationally expensive, it provides authentication and non-repudiation. Prediction-based TESLA enables fast and efficient verification by exploiting the sender's ability to predict its own future beacons. Both theoretical analysis and simulation results show that VSPT outperforms either the signature or TESLA in not only lossless situations but also lossy environments.