Adaptive Data Security for Autonomous Driving Vehicles

David Yu

2022

Abstract

With the rapid technological advancement of automotive EE architecture, modern autonomous driving (ADAS/AD) vehicles have become high performance computer system on the wheels. There is huge amount of data constantly being generated on an autonomous vehicle. These data can originate from different sources, including vehicle platform, ECUs, sensors, cockpit, connected vehicle networks (V2X). These data are significant heterogenous in nature and can have quite different processing and security requirements. A large amount of the data can be sensitive under certain circumstances, attackers can conduct malicious attacks from vehicle sensor jamming to user data breaches which can compromise driving safety and even cause national security risks. It is vital to ensure data security and control on autonomous vehicles and vehicle networks and protect data from cyberattacks. This paper presents an adaptive data security solution for autonomous driving vehicles, focusing on ADAS/AD domain. The solution aims to provide the end-to-end data security solution during its entire lifecycle. It is based on Service Oriented Architecture (SOA) design methodology and expand legacy cyber security techniques on the autonomous vehicles. It also aims to provide flexibility for future upgrade on its data classifications and data security policies.

Paper Citation

in Harvard Style

Yu D. (2022). Adaptive Data Security for Autonomous Driving Vehicles. In Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC; ISBN 978-989-758-622-4, SciTePress, pages 658-663. DOI: 10.5220/0012010900003612

in Bibtex Style

@conference{isaic22,
author={David Yu},
title={Adaptive Data Security for Autonomous Driving Vehicles},
booktitle={Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC},
year={2022},
pages={658-663},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012010900003612},
isbn={978-989-758-622-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC
TI - Adaptive Data Security for Autonomous Driving Vehicles
SN - 978-989-758-622-4
AU - Yu D.
PY - 2022
SP - 658
EP - 663
DO - 10.5220/0012010900003612
PB - SciTePress