use anyhow::{Context, Result};
use gnuplot::{Figure, PlotOption::Caption};
use muscat::{
distinguishers::dpa::DpaProcessor, leakage_model::aes::sbox, util::chipwhisperer_float_to_u16,
};
use ndarray::Array2;
use ndarray_npy::read_npy;
use std::{env, iter::zip, path::PathBuf};
fn selection_function(plaintext_byte: u8, guess: usize) -> bool {
sbox(plaintext_byte ^ guess as u8) & 1 == 1
}
fn main() -> Result<()> {
let traces_dir =
PathBuf::from(env::var("TRACES_DIR").context("Missing TRACES_DIR environment variable")?);
let traces: Array2<f64> =
read_npy(traces_dir.join("traces.npy")).context("Failed to read traces.npy")?;
let plaintexts: Array2<u8> =
read_npy(traces_dir.join("plaintexts.npy")).context("Failed to read plaintexts.npy")?;
assert_eq!(traces.shape()[0], plaintexts.shape()[0]);
let mut processor = DpaProcessor::new(traces.shape()[1], 256);
for (trace, plaintext) in zip(traces.rows(), plaintexts.rows()) {
processor.update(
trace.mapv(chipwhisperer_float_to_u16).view(),
plaintext[0],
selection_function,
);
}
let dpa = processor.finalize();
let best_guess = dpa.best_guess();
println!("Best subkey guess: {best_guess:?}");
let differential_curves = dpa.differential_curves();
let differential_curve = differential_curves.row(best_guess);
let mut fg = Figure::new();
fg.axes2d().lines(
0..differential_curve.len(),
differential_curve,
&[Caption("Differential curve")],
);
fg.show()?;
Ok(())
}