KiHoLee
37392bc38f
Reproducibility package for the TIFS submission: transmit and receive core, security stages (eavesdropper, jamming, key families, attack difficulty, known-plaintext), real BERT token streams, closed-form verification, and the scripts that regenerate every figure and table from the released CSVs.
56 lines
1.8 KiB
Python
56 lines
1.8 KiB
Python
"""Generate the LaTeX rows of the two result tables from the CSVs, so
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that every table in the paper is reproducible from data/ (TIFS mandate).
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Prints the tabular body; paste into main.tex without edits.
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"""
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from __future__ import annotations
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import csv
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from pathlib import Path
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DATA = Path(__file__).resolve().parents[1] / "data"
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NAME = {
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"proposed": r"\textbf{Proposed keyed masking}",
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"public_mask": "Public masks",
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"perm_key": r"Global-permutation key~\cite{chen2023shuffling}",
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"index_cipher": "Per-user index cipher",
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"oma_plain": "OMA (no encryption)",
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"random": "Random",
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"hadamard": "Walsh-Hadamard",
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"learned": "Learned",
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}
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def f3(x: str) -> str:
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try:
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return f"{float(x):.3f}"
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except ValueError:
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return "--"
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def compare_table():
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print("% Table: scheme comparison (from sec_compare.csv)")
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rows = list(csv.DictReader(open(DATA / "sec_compare.csv")))
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order = ["public_mask", "perm_key", "index_cipher", "oma_plain", "proposed"]
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rows = sorted(rows, key=lambda r: order.index(r["scheme"]))
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for r in rows:
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cells = [f3(r["legit_ser"]), f3(r["eve_out"]), f3(r["eve_in"]),
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f3(r["jam0_ser"])]
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if r["scheme"] == "proposed":
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cells = [rf"$\mathbf{{{c}}}$" for c in cells]
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else:
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cells = [f"${c}$" if c != "--" else "--" for c in cells]
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print(f"{NAME[r['scheme']]} & " + " & ".join(cells) + r" \\")
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def maskfam_table():
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print("% Table: key families (from sec_maskfam.csv)")
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for r in csv.DictReader(open(DATA / "sec_maskfam.csv")):
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print(f"{NAME[r['family']]} & ${f3(r['legit_ser'])}$ & "
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f"${f3(r['eve_ser'])}$ & ${f3(r['mask_xcorr'])}$" + r" \\")
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if __name__ == "__main__":
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compare_table()
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print()
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maskfam_table()
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