CRJun 29, 2020

Evaluation of Attack Vectors and Risks in Automobiles and Road Infrastructure

arXiv:2006.16374v12 citations
Originality Synthesis-oriented
AI Analysis

Addresses security risks for smart and autonomous vehicles, which is incremental as it synthesizes existing literature.

The study reviewed and classified common attack vectors in smart automobiles and road infrastructure, providing technical recommendations to secure deployments.

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.

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