Curriculum
Computer Science for Societal Challenges and Innovation, XL series
Grant sponsor
Agenzia per la Cybersicurezza Nazionale
Supervisor

Mauro Conti
Co-supervisors
to be defined
Contact
giulio.umbrella@phd.unipd.it

Project description
Autonomous driving systems require a collaborative approach in which each vehicle receives data about the vision of a group of other nearby vehicles in order to make informed decisions. This opens the scenario to new threats to vehicle privacy, such as tracking, identification, and profiling of vehicles and their drivers. In this project, we want to redefine the concept of an autonomous and intelligent transport system to make it both resilient and privacy-preserving. In the first phase of the project, we will define new online attacks against current cooperative autonomous driving systems. In the second phase, we will develop algorithms for resilience to both state-of-the-art attacks and those defined by us in the first phase. In the third step, we will assess the sensitivity of shared data and define new strategies for minimising the sharing of shared data that can, at the same time, ensure the fundamental security requirements.