| Title | Threat Analysis of an Autonomous Vehicle Architecture |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Dang, Quang Anh, Khondoker, Rahamatullah, Wong, Kelvin, Kamijo, Shunsuke |
| Conference Name | 2020 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI) |
| Date Published | dec |
| Keywords | autonomous driving, Autonomous vehicles, CVSS, cyber security, E/E architecture, Electric potential, faces, functional architecture, Human Behavior, Industries, Metrics, pubcrawl, Resiliency, security, security analysis, STRIDE, threat mitigation |
| Abstract | Over recent years, we have seen a significant rise in popularity of autonomous vehicle. Several researches have shown the severity of security threats that autonomous vehicles face -for example, Miller and Valasek (2015) were able to remotely take complete control over a 2014 Jeep Cherokee in a so called "Jeephack" [1]. This paper analyses the threats that the Electrical and Electronic (E/E) architecture of an autonomous vehicle has to face and rank those threats by severity. To achieve this, the Microsoft's STRIDE threat analysis technique was applied and 13 threats were identified. These are sorted by their Common Vulnerability Scoring System (CVSS) scores. Potential mitigation methods are then suggested for the five topmost severe threats. |
| DOI | 10.1109/STI50764.2020.9350512 |
| Citation Key | dang_threat_2020 |
Threat Analysis of an Autonomous Vehicle Architecture