期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2021
卷号：12
期号：7
DOI：10.14569/IJACSA.2021.0120789
语种：English
出版社：Science and Information Society (SAI)
摘要：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.
