pyecsca.sca.attack.CPA module¶

class CPA(points, traces, leakage_model, mult, params)[source]¶

Bases: object

Parameters:

points¶ (list[Point]) – Points on which scalar multiplication with secret scalar was performed
traces¶ (list[Trace]) – Power traces corresponding to the scalar multiplication for each of the points
mult¶ (ScalarMultiplier) – Scalar multiplier used
params¶ (DomainParameters) – Domain parameters used

points: list[Point]¶

traces: ndarray[Any, dtype[TypeVar(ScalarType, bound= generic, covariant=True)]]¶

mult: ScalarMultiplier¶

params: DomainParameters¶

leakage_model: LeakageModel¶

correlations: dict[str, list[list[float]]]¶

compute_intermediate_value(guessed_scalar, target_bit, point)[source]¶

Return type:: Mod

compute_correlation_trace(guessed_scalar, target_bit)[source]¶

Return type:: list[float]

plot_correlations(ct)[source]¶

recover_bit(recovered_scalar, target_bit, scalar_bit_length, real_pub_key)[source]¶

Return type:: int

perform(scalar_bit_length, real_pub_key)[source]¶

Return type:: int