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Examples

Base

In this folder we show how to use lascar to mount basics side-channel analysis. Most of these basic examples uses BasicAesSimulationContainer, a lascar container designed to generate simulated side-channel traces resulting from the first Subbyte of the first round of an AES.

  • snr.py: perform leakage characterization (basic SNR) on AES simulated traces
  • ttest.py: perform leakage assesment (Welsh's ttest) on AES simulated traces
  • cpa.py: perform Correlation Power Analysis Attack on AES simulated traces
  • cpa-with-partition.py: Same as cpa, but with a computational trick
  • profiled-attack.py: perform a profiled attack using both sklearn statistical classifiers and keras neural networks.
  • cpa-second-order.py: perform second order Correlation Power Analysis Attack on masked AES sbox simulation.
  • cpa-full-ranks.py: perform a cpa and plot the estimated rank of the complete key.

ASCAD

In this folder, we use real traces of a secure AES implementation on a on the ATMega8515 provided by ANSSI at ASCAD. The idea is to reproduce with lascar the study made in their paper.

  • 00-download-data.py: script to download and extract the traces provided by ANSSI
  • 01-handle-data.py: show how to use the downloaded traces with lascar
  • 02-snr.py: Use lascar to compute the 5 Signal-to-Noise Ratios (SNRs) described in chapter 2.5.2 of ASCAS paper.
  • 03-keras-train.py: Launch the profiling phase using keras neural network (first step of a profiling attack)
  • 04-keras-test.py: Launch the matching phase using keras neural network (second step of a profiling attack)
  • 05-cpa-high-order.py: Perform a 2nd order CPA on ASCAD traces for a key recovery.

rainbow

In this folder we use rainbow, our code emulation tool to emulate side-channel traces from a arm compiled .elf file.

scaffold

TBP