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| author | Andrej Bátora | 2023-10-05 18:48:19 +0200 |
|---|---|---|
| committer | Andrej Bátora | 2023-10-05 18:48:19 +0200 |
| commit | 71bac00f26e745c929d318b607d1794568fc6514 (patch) | |
| tree | 8352581034029c583e259fae962112c28f076ddc | |
| parent | 382a5896488f033c8269cf81fcdde3bf1ef98cad (diff) | |
| download | pyecsca-71bac00f26e745c929d318b607d1794568fc6514.tar.gz pyecsca-71bac00f26e745c929d318b607d1794568fc6514.tar.zst pyecsca-71bac00f26e745c929d318b607d1794568fc6514.zip | |
fixed CPA
| -rw-r--r-- | pyecsca/sca/attack/CPA.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/pyecsca/sca/attack/CPA.py b/pyecsca/sca/attack/CPA.py index ad65804..3ef57b0 100644 --- a/pyecsca/sca/attack/CPA.py +++ b/pyecsca/sca/attack/CPA.py @@ -13,7 +13,7 @@ from numpy.typing import NDArray @public class CPA(): - traces: list[Trace] + traces: NDArray points: list[Point] mult: ScalarMultiplier params: DomainParameters @@ -45,7 +45,7 @@ class CPA(): result = ctx.actions.get_by_index([0, action_index])[0] return result.output_points[0].X - def compute_correlation_trace(self, guessed_scalar: int, target_bit: int) -> NDArray: + def compute_correlation_trace(self, guessed_scalar: int, target_bit: int) -> list[any]: correlation_trace = [] intermediate_values = [] for i in range(len(self.points)): |