# List of Columns
p = "\nS-BOX "
for i in range(16):
p += "%02x" % i + " "
p += "\n"
for i in range(70):
p += "-"
p += "\n"
# Row
for i in range(16):
p += "%02x" % i + " | "
# Entries
for j in range(16):
p += "%02x" % sbox[16 * i + j] + " "
p += "\n"
return p.upper()
if __name__ == "__main__":
print("Initial Sbox is : ")
print(pretty(gen()))
print("Is initial Sbox bijective:", is_bijective(gen()))
print("Nonlinearity of Initial Sbox:", value_nonl(gen()))
The vertex to which we need minimum cost.
"""
cost_path = 0
for node in range(len(set_Vertices)-1):
cost_path += dist(graph, set_Vertices[node], set_Vertices[node+1])
return cost_path
if __name__ == '__main__':
graphs = []
initial_non = value_nonl(gen())
# dict conatining sbox
non_sbox = {initial_non: gen()}
all_perms = list(per(range(8)))
array = gen()
if is_bijective(array):
for var in range(10):
array_mod = []
for num in range(32):
array_mod, graph = substitution(
all_perms, array, array_mod, num)
graphs.append(graph)
# calculate non-linearity of modified Sbox
nn_array_mod = value_nonl(array_mod)
if nn_array_mod > limit1:
non_sbox[nn_array_mod] = [array_mod, graphs]
print(var, value_nonl(array), nn_array_mod)
else:
print('Is not bijective!')
if max(non_sbox) > limit:
with open('data/part-1/'+getfilename(), 'a') as f: