The Survivability project aims to create qualitative and quantitative models for the survivability of autonomous vehicles under faults
and well correlated failures. This involves the investigation of autonomous vehicle vulnerabilities, which provides the prioritization of attacks
based on their probability of success. The insights gained from this experimentation will help fortify the platform against future attacks
through criticality analysis, with the goal of increasing survivability.
Perform qualitative survivability analysis of autonomous vehicles communicating with other autonomous vehicles
and the intelligent transportation system. This is done by performing two analyses:
AV Vulnerability Analysis
Attacks are prioritized by their probability of success and inform quantitative survivability models.
Component Importance Analysis
Increases the survivability of the AV system through individual component security hardening and defense in depth.
Justin King - CISSP, PhD Student
Curtis Brinker - Accelerated Master's Student
Anna Muecke - Undergraduate Scholar
Ellie Jackson - Undergraduate Scholar
This repository is the main repository for the project. This repository is not open to the public.