@inproceedings{e1ad5891a7d642cf85ea2befe8f9553f,
title = "Autonomous vehicle security: Conceptual model",
abstract = "Nowadays, we see vehicles with different automation levels; from zero automation to fully automation vehicles. Leading car manufacturers such as Audi, Volkswagen, TESLA along with Google are becoming the lead in autonomous vehicles industry. Autonomous vehicles can have over 100 million lines of code in their modules with large number of messages being exchanged among vehicles. These vehicles have multiple connection points to the Internet. Bad code, misconfiguration and Internet exposure makes these vehicles vulnerable to different kind of malicious attacks. This paper presents a conceptual autonomous vehicle model to better understand the attack surface on autonomous vehicles. In addition, it presents real life scenarios of successful attacks on different models of vehicles. This paper introduces a conceptual model for autonomous vehicles as initial work for threat modeling of autonomous vehicles. In addition, it highlights some of the cyber security attacks on autonomous vehicles.",
keywords = "Autonomous, Model, Security, VANET",
author = "Zaabi, {Abdulla O.Al} and Yeun, {Chan Yeob} and Ernesto Damiani",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2019 ; Conference date: 08-05-2019 Through 10-05-2019",
year = "2019",
month = may,
doi = "10.1109/ITEC-AP.2019.8903691",
language = "British English",
series = "ITEC Asia-Pacific 2019 - 2019 IEEE Transportation Electrification Conference and Expo, Asia-Pacific: New Paradigm Shift, Sustainable E-Mobility",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ITEC Asia-Pacific 2019 - 2019 IEEE Transportation Electrification Conference and Expo, Asia-Pacific",
address = "United States",
}