Side-Channel Analysis using Deep Learning for Post-Quantum and Symmetric Key Cryptography
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: |
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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.