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.
1.2 KiB
1.2 KiB
| 1 | snr_db | n_frames | kappa | eve_ser |
|---|---|---|---|---|
| 2 | 0 | 1 | 0.2127109103 | 0.993336 |
| 3 | 0 | 2 | 0.7559393242 | 0.666508 |
| 4 | 0 | 3 | 0.8627683729 | 0.392272125 |
| 5 | 0 | 4 | 0.9179756209 | 0.218212875 |
| 6 | 0 | 5 | 0.945390512 | 0.14425925 |
| 7 | 0 | 6 | 0.9590921029 | 0.107493 |
| 8 | 0 | 8 | 0.9725584686 | 0.086112625 |
| 9 | 0 | 10 | 0.9778045967 | 0.07933375 |
| 10 | 0 | 12 | 0.9831736788 | 0.07420325 |
| 11 | 0 | 16 | 0.9879393309 | 0.070712875 |
| 12 | 0 | 24 | 0.9925390184 | 0.067800375 |
| 13 | 0 | 32 | 0.9945808738 | 0.06649325 |
| 14 | 0 | 48 | 0.9965663388 | 0.065265 |
| 15 | 0 | 64 | 0.9975094497 | 0.065024875 |
| 16 | 10 | 1 | 0.3165432975 | 0.948993875 |
| 17 | 10 | 2 | 0.9290210679 | 0.19776825 |
| 18 | 10 | 3 | 0.9781143948 | 0.095876875 |
| 19 | 10 | 4 | 0.9896475986 | 0.070495125 |
| 20 | 10 | 5 | 0.9934410676 | 0.067297125 |
| 21 | 10 | 6 | 0.9953705788 | 0.06628575 |
| 22 | 10 | 8 | 0.9971551418 | 0.06520175 |
| 23 | 10 | 10 | 0.9979188025 | 0.064684875 |
| 24 | 10 | 12 | 0.9982561454 | 0.06454375 |
| 25 | 10 | 16 | 0.9987509355 | 0.06426625 |
| 26 | 10 | 24 | 0.9992754847 | 0.064091125 |
| 27 | 10 | 32 | 0.9994516179 | 0.06386675 |
| 28 | 10 | 48 | 0.9996520028 | 0.063819875 |
| 29 | 10 | 64 | 0.999746412 | 0.063847125 |
| 30 | 20 | 1 | 0.742194891 | 0.513137625 |
| 31 | 20 | 2 | 0.9947786465 | 0.06753025 |
| 32 | 20 | 3 | 0.9986294076 | 0.06438075 |
| 33 | 20 | 4 | 0.9992210969 | 0.064160375 |
| 34 | 20 | 5 | 0.9994008377 | 0.064080125 |
| 35 | 20 | 6 | 0.9995701849 | 0.063900375 |
| 36 | 20 | 8 | 0.9997365534 | 0.063852875 |
| 37 | 20 | 10 | 0.9998067141 | 0.063813 |
| 38 | 20 | 12 | 0.9998438716 | 0.06370225 |
| 39 | 20 | 16 | 0.9998808399 | 0.063670875 |
| 40 | 20 | 24 | 0.9999239221 | 0.06380125 |
| 41 | 20 | 32 | 0.9999452353 | 0.063820625 |
| 42 | 20 | 48 | 0.9999649763 | 0.063811 |
| 43 | 20 | 64 | 0.9999733046 | 0.06377525 |