Published April 17, 2023 | Version v2.1 - Unprotected-AES + Masked-AES Traces
Dataset Open

Towards Efficient Training in Deep Learning Side-Channel Attacks

  • 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

masked-AES.zip

Files (20.7 GB)

Name Size Download all
md5:31511246d56a8deff8dd90101e3f069e
18.2 GB Preview Download
md5:afadd4e078948ba5ae048b088b33688e
2.5 GB Preview Download