Doctoral student position in the Hardware Security group at KTH Royal Institute of Technology.
Project description
We are looking for a doctoral student to work on a project AI-Based Side-Channel Attacks and Countermeasures for Autonomous Systems, funded by Wallenberg AI, Autonomous Systems and Software Program (WASP).
At present there are no methods for assuring side-channel attack resistance of autonomous system’s physical implementations. This project aims to address this important open problem. We intend to take into account the impact of side-channel attacks on autonomous system security both destructively (by devising new types of attacks) and constructively (by designing countermeasures). We will focus on new types of side-channel attacks, including remote attacks.
The doctoral student is expected to investigate the use of advanced Machine Learning (ML) technologies for extracting secret information from physical implementations of autonomous systems using leakage from various side-channels. The acquired knowledge will be used to develop new vulnerability assessment methods and design countermeasures against side-channel attacks, along with supporting tools.
The work will be carried out in the Hardware Security group at KTH which currently includes five PhD students and one postdoc.