The Need for Speed: A Fast Guessing Entropy Calculation for Deep Learning-Based SCA
The adoption of deep neural networks for profiling side-channel attacks opened new perspectives for leakage detection. Recent publications showed that cryptographic implementations featuring different countermeasures could be broken without feature selection or trace preprocessing. This success come...
Main Authors: | Guilherme Perin, Lichao Wu, Stjepan Picek |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-02-01
|
Series: | Algorithms |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4893/16/3/127 |
Similar Items
-
Tight and Scalable Side-Channel Attack Evaluations through Asymptotically Optimal Massey-like Inequalities on Guessing Entropy
by: Andrei Tănăsescu, et al.
Published: (2021-11-01) -
The Interplay between Error, Total Variation, Alpha-Entropy and Guessing: Fano and Pinsker Direct and Reverse Inequalities
by: Olivier Rioul
Published: (2023-06-01) -
GE vs GM: Efficient side-channel security evaluations on full cryptographic keys
by: Anca Rădulescu, et al.
Published: (2022-08-01) -
GE vs GM: Efficient side-channel security evaluations on full cryptographic keys
by: Anca Rădulescu, et al.
Published: (2022-08-01) -
Exact Probability Distribution versus Entropy
by: Kerstin Andersson
Published: (2014-10-01)