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1 Ergebnisse
1
RTL Flow for the Power Side-Channel Resilience Assessment o..:
, In:
2024 13th International Conference on Modern Circuits and Systems Technologies (MOCAST)
,
Tenentes, Vasileios
;
Di Matteo, Stefano
;
Zonios, Christos
.. - p. 01-05 , 2024
Link:
https://doi.org/10.1109/MOCAST61810.2024.10615493
RT T1 <cTitle>2024 13th International Conference on Modern Circuits and Systems Technologies (MOCAST)</cTitle>: T1 <Title>RTL Flow for the Power Side-Channel Resilience Assessment of a Post-Quantum SHA-3 Accelerator</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10615493&Exemplar=1&LAN=DE A1 Tenentes, Vasileios A1 Di Matteo, Stefano A1 Zonios, Christos A1 Rossi, Daniele A1 Saponara, Sergio YR 2024 SN 2993-4443 K1 Deep learning K1 Measurement errors K1 Power measurement K1 Quantum computing K1 Measurement uncertainty K1 Cryptographic hash function K1 Entropy K1 SHA-3 K1 Keccak K1 Hardware Security K1 Power Side-Channel Analysis K1 Deep Learning K1 Register-Transfer Level SP 01 OP 05 LK http://dx.doi.org/https://doi.org/10.1109/MOCAST61810.2024.10615493 DO https://doi.org/10.1109/MOCAST61810.2024.10615493 SF ELIB - SuUB Bremen
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