The aim of this research is to investigate the feasibility and effectiveness of a transferable framework that will be able to leverage ML and AI to efficiently perform fuzz testing in various systems.
Fundamental Research Questions
- How can we use Ensemble Fuzzing to enhance code coverage in a system?
- How can we make this framework transferable in order to be able to be adjusted to different ecosystems?
We do not accept any more applications for this PhD studentship.
We are currently in the process of recruiting a suitable candidate to start January 2022.