Securing Large Scale Self-driving car deployments

Back to search results
The project aims to increase confidence in adoption of self-driving vehicles by providing a framework for deployment and forensic evaluation by insurance companies. There is a need to manage self-driving cars where malicious security attacks can be reduced and secure evidence can be gathered in case of failure/accidents. This project will involve designing and developing novel light-weight analytics techniques for detection of malware and anomalous behaviour by using data from multiple sources including passenger occupancy, their communication devices, roadside infrastructure, and GPS. The novel techniques should allow for privacy preservation, especially when information from passenger devices a infrastructure is used.

PhD candidates to have background in Computer Science or  Electrical Engineering. Prior experience knowledge/experience in application of machine learning techniques, theoretical and practical skills in distributed systems and applied cryptography would be desirable. They should be interested in learning how to design better tools and techniques for security systems like self-driving vehicles. They will be self-motivated, be a team player, and have excellent oral and written communication skills.

Supervisory team
Sanjay
Jha

Engineering
Computer Science and Engineering
Raja
Jurdak

CSIRO
Data61
Surya
Nepal

CSIRO
Data61
sanjay.jha@unsw.edu.au