Title:	Side-Channel Analysis using Deep Learning for Post-Quantum and Symmetric Key Cryptography
DNr:	Berzelius-2024-113
Project Type:	LiU Berzelius
Principal Investigator:	Mustafa Khairallah <mustafa.khairallah.1608@eit.lth.se>
Affiliation:	Lunds universitet
Duration:	2024-03-18 – 2024-10-01
Classification:	10299
Keywords:

Abstract

As part of the Wallenberg-NTU Presidential Postdoctoral Fellowship, I am investigating side-channel analysis and attacks on the new Post-Quantum-secure cryptographic algorithms, as well as low-latency ciphers and symmetric key primitives. Analysis methods range from statistical distinguishers to power analysis to deep learning frameworks.