Data-Gouv-ML/catalogue-des-donnees-Sql-Lite huggingface dataset:
ASCADv2
Organisation : Agence Nationale de la Sécurité des Systèmes d'Information

ASCAD database version 2. This database contained the power consumption of a STM32 Cortex M4 microcrontroller (STM32F303RCT7) during 800.000 random AES encryptions. The AES encryptions are protected with shuffling and affine masking, and the implementation is available on <https://github.com/ANSSI-FR/SecAESSTM32>. The raw dataset is split into 8 files of 100.000 encryptions, and the extracted dataset contained the 800.000 preprocessed traces with additional metadata.

Warning:

Due to an acquisition issue, the last trace of each raw file (ascadv2-stm32-conso-raw-traces{1..8}.h5) and the associated metadata are set to zero. Moreover, traces 99999, 199999, 299999, 399999, and 499999 in the profiling part of the file ascadv2-extracted.h5 are also zero. These traces may introduce a bias if used during the evaluation process.

In standard usage, the attack part of the ascadv2-extracted.h5 file does not contain any null traces and can be safely used for evaluation. However, we highly suggest to remove all the null traces from the entire dataset.


Mots-clés : ascad,ascadv2,deep-learning,side-channel-attacks
Fréquence de mise à jour : unknown