Dataset first order masked AES on Cortex M0
<p>Dataset AES-128 with first order masking (https://github.com/sca-research/ASM_MaskedAES). </p> <p>Details:</p> <p> - 3 sets of traces with plaintexts, keys (when random), ciphertexts and masks.</p> <p> - A set for training with random keys, 100k traces. Labeled as training in the h5 file</p> <p> - A set for validation/testing with random keys, 10k traces. Labeled as testing in the h5 file</p> <p> - A set for performing attacks with the following key : 0x2b7e151628aed2a6abf7158809cf4f3c , 10k traces. Labeled as attack in the h5 file.</p> <p> - Masks computation included in the traces.</p> <p>- h5 file generated using h5py version 3.1.0</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0