Normalize CAN IDs to strictly match same number of bit

This commit is contained in:
2026-07-13 23:14:24 +02:00
parent 9ddc6ea0d5
commit c9d9f9bbec
3 changed files with 81 additions and 13 deletions
+22 -3
View File
@@ -3,6 +3,7 @@
# SPDX-License-Identifier: AGPL-3.0-or-later
import argparse
import numbers
from pathlib import Path
import numpy as np
@@ -12,6 +13,21 @@ import plotly.graph_objects as go
from utils.extractor import load_data
from utils.extractor import to_int
def _format_can_id(x):
if pd.isna(x):
return "UNKNOWN"
if isinstance(x, numbers.Number):
return f"{int(x):08X}"
s = str(x).strip()
if s.lower().startswith('0x'):
s = s[2:]
if s.isdigit():
return f"{int(s):08X}"
try:
return f"{int(s, 16):08X}"
except ValueError:
return s
def calculate_byte_entropy(df: pd.DataFrame) -> pd.DataFrame:
"""Calculates Shannon entropy per byte position for each identifier."""
byte_cols = [f"b{i}" for i in range(8)]
@@ -19,6 +35,9 @@ def calculate_byte_entropy(df: pd.DataFrame) -> pd.DataFrame:
if not available_cols:
raise ValueError("No byte columns (b0-b7) found in the DataFrame")
can_id_col = 'ID' if 'ID' in df.columns else 'Identifier'
identifiers = df[can_id_col].apply(_format_can_id)
df_bytes = df[available_cols].copy()
for col in available_cols:
df_bytes[col] = df_bytes[col].apply(to_int)
@@ -30,8 +49,9 @@ def calculate_byte_entropy(df: pd.DataFrame) -> pd.DataFrame:
p = s.value_counts(normalize=True)
return -np.sum(p * np.log2(p))
return df.groupby("Identifier")[available_cols].agg(entropy)
result = df_bytes.groupby(identifiers).agg(entropy)
result.index.name = 'Identifier'
return result
def plot_entropy_heatmap(entropy_df: pd.DataFrame, title: str) -> go.Figure:
"""Generates an interactive heatmap of byte-level Shannon entropy."""
@@ -131,7 +151,6 @@ def plot_entropy_heatmap(entropy_df: pd.DataFrame, title: str) -> go.Figure:
)
return fig
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description="Analyze CAN bus byte-level entropy"