Evaluation of Attack Vectors and Risks in Automobiles and Road Infrastructure

TL;DR

This paper reviews and classifies attack vectors in smart automobiles and infrastructure, providing technical recommendations to enhance security in autonomous vehicle systems within the IoT ecosystem.

Contribution

It offers a comprehensive classification of attack vectors and proposes specific security measures for autonomous vehicles and related infrastructure.

Findings

Identified common attack vectors in vehicle and infrastructure systems.

Provided technical recommendations for mitigating security vulnerabilities.

Highlighted patterns of exploitable vulnerabilities in IoT-enabled vehicles.

Abstract

The evolution of smart automobiles and vehicles within the Internet of Things (IoT) - particularly as that evolution leads toward a proliferation of completely autonomous vehicles - has sparked considerable interest in the subject of vehicle/automotive security. While the attack surface is wide, there are patterns of exploitable vulnerabilities. In this study we reviewed, classified according to their attack surface, and evaluated some of the common vehicle and infrastructure attack vectors identified in the literature. To remediate these attack vectors, specific technical recommendations have been provided as a way towards secure deployments of smart automobiles and transportation infrastructures.