Unprotected AES furious 128 bit dataset
<p>2 round of unprotected AES furious 128 dataset containing 210k traces, labels and points of interest for multiples intermediates. Saved in NPY files for python3. </p> <p>- 200k traces with random keys </p> <p>- 10k traces with fixed keys. Plaintexts, Keys and Labels under the name "extra . . .npy"</p> <p> </p> <p>Main folders :</p> <p>- tracedata : Traces data split in two, fixed keys and random keys. Random keys are splitted in 10k chunk for memory reasons. Those files can be loaded using numpy.load(file,allow_pickle=True).</p> <p>- timepoints : Points of interest of all intermediates</p> <p>- realvalues : Labels for all intermediates each split in 2 files for training/validation and test.</p> <p> </p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0