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.
10 lines
249 B
CSV
10 lines
249 B
CSV
block,legit_ser,eve_ser
|
|
0,0.06381666667,0.9999375
|
|
1,0.06395583333,0.9981941667
|
|
2,0.06397833333,0.999985
|
|
3,0.06386833333,0.9983758333
|
|
4,0.06338666667,0.9999908333
|
|
5,0.06366416667,0.9999133333
|
|
6,0.06398416667,0.9999433333
|
|
7,0.06390583333,0.9809091667
|