Reliability-Based Attack on XOR Arbiter PUFs #156
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detailed values:
""" this is where the magic happens, estimated by trial-and-error """
thresholds = {4: .92, 8: .92, 16: .92}
pop_sizes = {128: [25]} # 25 confirmed working for sigma=1 and k=4, k=8
""" straight from the paper [Bec15]_ Table 2 bottom part """
Ns = {4: 150000, 8: 300000, 16: 500000}
retries = {4: 4.2, 8: 7.2, 16: 30.6}
k_max = {4: 4, 8: 8, 16: 13}
return [
{'n': n, 'k': k, 'k_max': k_max[k], 'noisiness': .0312, 'seed': seed, 'N': Ns[k], 'r': 5,
'fitness_threshold': thresholds[k], 'max_retries': int(2.5 * k * retries[k]),
'pop_size': pop_size}
for n in [128]
for k in [4, 8, 16]
for pop_size in pop_sizes[n]
for seed in range(10)
]
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