# Security of Connected and Automated Vehicles

arXiv: https://arxiv.org/abs/2012.13464 · HTML: https://mlsanity.com/paper/2012.13464/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 24 Dec 2020.

## Built on by (most cited first, 3 of 3)

- [Graph-Powered Defense: Controller Area Network Intrusion Detection for Unmanned Aerial Vehicles](https://mlsanity.com/paper/2412.02539/) (2024)
- [Efficacy of Statistical and Artificial Intelligence-based False Information Cyberattack Detection Models for Connected Vehicles](https://mlsanity.com/paper/2108.01124/) (2021)
- [Quantum-Classical Hybrid Framework for Zero-Day Time-Push GNSS Spoofing Detection](https://mlsanity.com/paper/2508.18085/) (2025)

## Abstract (arXiv)

The transportation system is rapidly evolving with new connected and automated vehicle (CAV) technologies that integrate CAVs with other vehicles and roadside infrastructure in a cyberphysical system (CPS). Through connectivity, CAVs affect their environments and vice versa, increasing the size of the cyberattack surface and the risk of exploitation of security vulnerabilities by malicious actors. Thus, greater understanding of potential CAV-CPS cyberattacks and of ways to prevent them is a high priority. In this article we describe CAV-CPS cyberattack surfaces and security vulnerabilities, and outline potential cyberattack detection and mitigation strategies. We examine emerging technologies - artificial intelligence, software-defined networks, network function virtualization, edge computing, information-centric and virtual dispersive networking, fifth generation (5G) cellular networks, blockchain technology, and quantum and postquantum cryptography - as potential solutions aiding in securing CAVs and transportation infrastructure against existing and future cyberattacks.