# Risk Assessment of Autonomous Vehicles Using Bayesian Defense Graphs

arXiv: https://arxiv.org/abs/1903.02034 · HTML: https://mlsanity.com/paper/1903.02034/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Mar 2019.

## Built on by (most cited first, 1 of 1)

- [VSRQ: Quantitative Assessment Method for Safety Risk of Vehicle Intelligent Connected System](https://mlsanity.com/paper/2305.01898/) (2023)

## Abstract (arXiv)

Recent developments have made autonomous vehicles (AVs) closer to hitting our roads. However, their security is still a major concern among drivers as well as manufacturers. Although some work has been done to identify threats and possible solutions, a theoretical framework is needed to measure the security of AVs. In this paper, a simple security model based on defense graphs is proposed to quantitatively assess the likelihood of threats on components of an AV in the presence of available countermeasures. A Bayesian network (BN) analysis is then applied to obtain the associated security risk. In a case study, the model and the analysis are studied for GPS spoofing attacks to demonstrate the effectiveness of the proposed approach for a highly vulnerable component.