Advanced Security and Privacy Schemes for Smart, Connected, and Autonomous Vehicles

Smart, connected, and autonomous vehicles enable crash prevention, enhanced safety, mobility and environmental benefits. Despite the potential benefits of smart, connected, and autonomous vehicles, significant security and privacy challenges remain to be addressed before widespread deployment for intelligent transportation systems may begin. In this project, we identify and analyze the risks and vulnerabilities associated with cyber-attacks related to smart, connected, and autonomous vehicles. We plan to develop and evaluate advanced security and privacy schemes in smart, connected, and autonomous vehicles that take into account system resource constraints, high mobility of vehicles, as well as security and privacy requirements for intelligent transportation systems.

Faculty Supervisor:

Fei Yu

Student:

Xiaoqiang Sun

Partner:

Canadian Urban Transit Research and Innovation Consortium

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program: