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Towards Efficient Training in Deep Learning Side-Channel Attacks

<p>Datasets used to develop my Master&#39;s Thesis&nbsp;<em>Towards Efficient Training in Deep Learning Side-Channel Attacks</em> at Politecnico di Milano.&nbsp;</p> <p>The datasets contain power consumption measurements taken from multiple <em>Riscure Pi&ntilde;ata&nbsp;</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&nbsp;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

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