exp_learned.py mirrors every structured result stage for the learned key family at the same SNRs, frame counts and seeds, so Figs. 2, 3, 4 and 7 and Tables IV and VI can carry both realizations of keyed masking. replot_security.py gains a style registry: colour identifies the scheme and line style the role, so a curve learned in one figure reads the same in the next. Previously OMA was grey in two figures and teal in a third, and blue meant the eavesdropper in one figure and the permutation key in another.
455 B
455 B
| 1 | L | d | legit_ser | eve_ser | mask_xcorr | oma |
|---|---|---|---|---|---|---|
| 2 | 8 | 32 | 0.9297855 | 0.9998735 | 0.007307400461 | 0.6849191155 |
| 3 | 12 | 48 | 0.416604 | 0.9997065 | 0.005153660662 | nan |
| 4 | 16 | 64 | 0.2762895 | 0.999912 | 0.007116591092 | 0.2747696909 |
| 5 | 20 | 80 | 0.2076175 | 0.999383 | 0.003162040841 | 0.2289444229 |
| 6 | 24 | 96 | 0.1829615 | 0.999894 | 0.002973971656 | 0.1961714033 |
| 7 | 32 | 128 | 0.131901 | 0.999616 | 0.005575809628 | 0.1524639978 |
| 8 | 48 | 192 | 0.090206 | 0.9994575 | 0.005743456539 | 0.1054308944 |
| 9 | 64 | 256 | 0.0635265 | 0.999637 | 0.006678360514 | 0.08056383667 |