Each PhD student recruited for the PHEBE project (Physical-Layer Security for Beyond 5G) will focus on one or more of the following topics.
- Covert communication. Also known as “communication with low probability of detection,” this is a scenario where the eavesdropper attempts to guess whether the transmitter is sending a message or not, while the transmitter tries to prevent the eavesdropper from making a good guess. In this project, we shall study covert communication over realistic channels whose noise fluctuates with time. We shall also design error-correcting codes for covert communication.
- State masking and location privacy. We seek communication schemes that can hide the sender’s physical location from a potential eavesdropper. We model the location as a parameter in the channel model, i.e., a “channel state.” The problem hence can be formulated as one where the transmitter wishes to convey a message without letting the eavesdropper learn the channel state.
- Fuzzy extractors for key generation. Physical measurements are a widely available source of randomness in nature, but they are not uniformly random and are affected by noise. Fuzzy extractors can convert such noisy measurements into uniformly random strings which can be reproduced reliably. In this project, we will focus on fuzzy extractors for continuous sources, and investigate how to extract most of the entropy from the sources while reducing the noise.
This position is funded by CY Initiative of Excellence
More information here.
Poste d'enseignant contractuel (service d'enseignement de 384 heures) au département des Sciences Informatiques de CYU, en lien avec les Bachelors internationaux « Data Science and Big Data Technology » (Chine) et « Data Science » (Maurice).
Poste de MCF "tenure track" à pourvoir en sécurité des objets connectés (sections 27/61 CNU)