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This repository is associated with the paper Machine Learning-Based Side-Channel Attack on EdDSA.

The database is obtained from a STM32F4 microcontroller. The details of the measurement setup and implementation can be found in the paper.

• databaseEdDSA.h5 contains 6400 power traces divided in two groups: Attack_traces which contains 5120 traces and Profiling_traceswhich contains 1280 traces. Each trace contains 1000 points.

To get the traces by cloning the repo you need Git LFS. Alternatively, you can download the traces directly from GitHub web interface.