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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Risk Assessment of Attack in Autonomous Vehicle based on a Decision Tree
Digital Object Identifier (DOI) : 10.14569/IJACSA.2021.0120789
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 7, 2021.
Abstract: Risk management has become increasingly essential in all areas, and it represents a cornerstone of the Safety Management System. In principle, it brings together all the procedures to identify and evaluate risks to improve systems performance. With the development of the transportation system and the appearance of intelligent ones (ITS) that are changing citizens' mobility nowadays, the risks associated with them have also increased exponentially. In ITS, vehicles can reach 100% autonomy since they are equipped with sensors to move safely. The vehicle's architecture and embedded sensors enfold inherent vulnerabilities that attackers may exploit to craft malicious acts. In addition, vehicles communicate with each other and with the road infrastructure via vehicular adhoc network (VANET) and may use Internet connections, raising the risk that an attacker performs malicious actions and may take control of a vehicle to perform terrorist acts. This paper aims to draw attention to the risks associated with autonomous vehicles (AV) and the interest in evaluating flaws inherent in AV. For this purpose, our paper will extensively detail a new approach to assess the risk of attacks targeting autonomous vehicles. Our proposed approach will use a decision tree model to predict risk criticality based on the probability of attack success and its impact on the targeted system.
Keywords: Vehicular adhoc network; intelligent transportation system; decision tree; risk assessment; impact; autonomous vehicle; attacks
Sara FTAIMI and Tomader MAZRI, “Risk Assessment of Attack in Autonomous Vehicle based on a Decision Tree” International Journal of Advanced Computer Science and Applications(IJACSA), 12(7), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120789
@article{FTAIMI2021,
title = {Risk Assessment of Attack in Autonomous Vehicle based on a Decision Tree},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120789},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120789},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {7},
author = {Sara FTAIMI and Tomader MAZRI}
}
