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Published April 11, 2023 | Version v2.0 - Unprotected-AES Traces
Dataset Open

Towards Efficient Training in Deep Learning Side-Channel Attacks

Authors/Creators

  • 1. Politecnico di Milano

Description

Datasets used to develop my Master's Thesis Towards Efficient Training in Deep Learning Side-Channel Attacks at Politecnico di Milano. 

The datasets contain power consumption measurements taken from multiple Riscure Piñata (STM32F4) boards (3) considering multiple keys (11) while executing AES-128.

unprotected-AES.zip contains the traces related to the execution of a software unprotected implementation of AES-128.

masked-AES.zip contains the traces related to the execution of a software masked implementation of AES-128.

Files

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Files (2.5 GB)

Name Size
md5:63de8fea0af767ca1b92880c76f7838e
65 Bytes Preview Download
md5:9bcbf340ef61fc77197a95762671c5c1
41 Bytes Preview Download
md5:afadd4e078948ba5ae048b088b33688e
2.5 GB Preview Download