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.
44 lines
1.2 KiB
CSV
44 lines
1.2 KiB
CSV
snr_db,n_frames,kappa,eve_ser
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0,1,0.2127109103,0.993336
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0,2,0.7559393242,0.666508
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0,3,0.8627683729,0.392272125
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0,4,0.9179756209,0.218212875
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0,5,0.945390512,0.14425925
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0,6,0.9590921029,0.107493
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0,8,0.9725584686,0.086112625
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0,10,0.9778045967,0.07933375
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0,12,0.9831736788,0.07420325
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0,16,0.9879393309,0.070712875
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0,24,0.9925390184,0.067800375
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0,32,0.9945808738,0.06649325
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0,48,0.9965663388,0.065265
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0,64,0.9975094497,0.065024875
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10,1,0.3165432975,0.948993875
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10,2,0.9290210679,0.19776825
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10,3,0.9781143948,0.095876875
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10,4,0.9896475986,0.070495125
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10,5,0.9934410676,0.067297125
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10,6,0.9953705788,0.06628575
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10,8,0.9971551418,0.06520175
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10,10,0.9979188025,0.064684875
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10,12,0.9982561454,0.06454375
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10,16,0.9987509355,0.06426625
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10,24,0.9992754847,0.064091125
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10,32,0.9994516179,0.06386675
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10,48,0.9996520028,0.063819875
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10,64,0.999746412,0.063847125
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20,1,0.742194891,0.513137625
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20,2,0.9947786465,0.06753025
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20,3,0.9986294076,0.06438075
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20,4,0.9992210969,0.064160375
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20,5,0.9994008377,0.064080125
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20,6,0.9995701849,0.063900375
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20,8,0.9997365534,0.063852875
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20,10,0.9998067141,0.063813
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20,12,0.9998438716,0.06370225
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20,16,0.9998808399,0.063670875
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20,24,0.9999239221,0.06380125
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20,32,0.9999452353,0.063820625
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20,48,0.9999649763,0.063811
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20,64,0.9999733046,0.06377525
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