zenodoopen
Towards Efficient Training in Deep Learning Side-Channel Attacks
<p>Datasets used to develop my Master's Thesis <em>Towards Efficient Training in Deep Learning Side-Channel Attacks</em> at Politecnico di Milano. </p> <p>The datasets contain power consumption measurements taken from multiple <em>Riscure Piñata </em>(STM32F4) boards (3) considering multiple keys (11) while executing AES-128.</p> <p>unprotected-AES.zip contains the traces related to the execution of a software unprotected implementation of AES-128.</p> <p>masked-AES.zip contains the traces related to the execution of a software masked implementation of AES-128.</p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4