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.
6 lines
248 B
CSV
6 lines
248 B
CSV
scheme,legit,eve,entropy_bits
|
|
None (fixed key),0.05300666667,0.9997075,23.76910417
|
|
Fresh orthogonal keys,0.1215548611,0.9996535069,23.76910417
|
|
Invariant,0.05304121528,0.9995528819,364.5801064
|
|
"Invariant, learned keys",0.063800,0.997200,364.5801064
|