def test_cs_spectrum():
# Creating CS
cs = CryptoSignal(256)
sig = cs.generateDefRandomSeq(32)
# calculatin pfak and afak
pfak_list, afak_list = test_auto_correl(sig)
build_plot(pfak_list)
# setting sampling rate
sampling_rate = 30
# calculate spctrum
freq, ps = calculate_spectrum_autocorrel(pfak_list, sampling_rate)
# the same as above function
# https://docs.scipy.org/doc/scipy/reference/generated/scipy.signal.periodogram.html
# freq_1, ps_1 = signal.periodogram(pfak_list, sampling_rate)
print('Frequency:', freq)
print('PSD', ps)
build_spectrum(freq, ps)
# print('Frequency:', freq_1)
# print('PSD', ps_1)
# build_spectrum(freq_1,ps_1)
# if you need a left part but it make
# no sense to use it because its mirrored
freq_1, ps_1, idx_1 = calculate_spectrum_autocorrel_fft(
pfak_list, sampling_rate)
build_spectrum(freq_1[idx_1], ps_1[idx_1])
def test_time_ensemble():
cs = CryptoSignal(256)
time_list = list()
for i in range(0, 10):
start_time = time.process_time()
cs_ensemble = cs.genereteAnsambleOfCryptoSig(128, 32)
time_list.append(time.process_time() - start_time)
print("{0:5f} seconds".format(time.process_time() - start_time))
return time_list
def test_time_decimation2():
cs = CryptoSignal(256)
time_list = list()
for i in range(0, 10):
start_time = time.process_time()
sig = cs.generateDefRandomSeq(32)
decimations = getDecimation(sig)
time_list.append(time.process_time() - start_time)
print("{0:5f} seconds".format(time.process_time() - start_time))
def test_derivative_cs_spectrum():
p = 256
h = Hadamar(p)
cs = CryptoSignal(p)
source_sig = cs.generateDefRandomSeq(32)
hadamar_sig_list = h.getHadamMatrix()
# setting sampling rate
sampling_rate = 30
# derivative
dersig, combinations = derivativeSigFromTo([source_sig], hadamar_sig_list,
1, 5)
print_derivative(dersig, combinations)
for sig in dersig:
pfak_list, afak_list = test_auto_correl(sig)
freq, ps = calculate_spectrum_autocorrel(pfak_list, sampling_rate)
print('Frequency:', freq)
print('PSD', ps)
build_spectrum(freq, ps)
print("Result: {0} Run 1: {1} Run 0: {2}".format("Success" if res == True else "Fail", arr, arr2))
print('\n===Long Run test===')
res, x = fp.long_run(string_sig)
print("Result: {0} X: {1}".format("Success" if res == True else "Fail", x))
if __name__ =="__main__":
# testing fips
# tmp = '0001010100100000010111101001010011010000000001110111000100100000101000101101111011101101010000110011010011011111001110101110000110110110000101010010100101011111011100111110001011011101001110111100001110000110010011101101011011000100001101100000101000110010011000110010010100011000100110011010011110000100001110011001111001011010111011100100110011111000101111010101100000010001010011010010111100011010001000000011000010011110101001111110101111101001101011011111011110011010001100000001100011111000011111100100010100111100101100100110000001100101100110100010110000111110011100101100011111010000111011110100001010110101001001100000110111100011110101110100000010100000001101110001010000011011101101110101001100001010011110011101000100011101101111110000111110010001110101000100010101011001000000011000000011101010010000100011010101111110000111000110010111001101100101100010111010011011100111000001110000111111010101110101100101101101110110111111000110001010111111111011010011010100101110011000110101100011010111110110101011110110011100110100011000111000111100101011011001100001000101110100011011000100101110001000101100100101010100101011100101011100100001111101000001110011010011110011100100010101100001001011101101011101101001011110000000101000101100001010001001010000011011000101010000000101010000110111111011111111110000011110001001011111111110000011110010001000001010101001111011011011001111100111011100101011010010010111110001000110010101101111100011000001100011011000111111001011100100011111110001010110011111101001111000011000001000110101101011010100000001100000001111111100010010100101100000010100101000011011011010001001001001001101001101000000011010111000010110110001001001101100011001010001011100100111110111010001001101010110110000011111101101110111101111011001011010011111011110110010001000110011111101100111111001101000110000100100010100110001100001111010000000111010101111110000010010001111110111111010011110100101100100110001001111110000101110111101100101111110110010011001110100101011001011011111111010110000010100111001000011001001000000100110000100110110110110100111111000110011010001000010000100111001000111101101110111100111000000000111111011000000100111010010100001010010011000011010011011000100000011010001111011100000100011110000101101010111110111100101111101110000010100111001000000010101000000010110001010111010101010010100101101110000101010101101011010011101110101111111110010111000111001101011001000100111111000011100001010010001001100000011101011011001010011011000110110101001111011000100101010010000001100101011110010110100110101110110000011111000000101010011010101101010100100011111000011010100000111110100111000111101110001110001100001100001010100111110110100001110010001110011100100110000010000100111001010001000010001100000001110010100101011100010001011101000110000111100101000101110011101110110011010100011001010110011110110010111000100000110010011010010111101010110111111101010010100011101101010001010111100101111000011000110010001101010010111101110100011000010101110011100110010000111111001111000101010111110010100000110110001011001110001010100111101111010000001001100111010001010010111010010101101111010111110001000010010110111000110010110111010000101011000001011101111101100010011110111001100000101001010011011100010000111011000011001100111011100000101001000110010011110011011000101000001101000001110010111111101000010110000111111110111011110011000111100010000000000101101000001011010100010111001110000001001001011000101110111010101000000011110100110101011000100111111011011000110110011111101111010110111000000011010100100001010100010001001000001111101100110111010000011101000111111110000000111011001100100001010001001110110001010101101010001100011101111011111000101011110111001100011010001101011111010011011010100111001000001111011010000100101010000001000111000101101000111111001010101010111001011100011100001111100000011010110111101101010110000000110000110111100100100010001100011111110010111110011000111010011000001110001100100011001100101000011010000001100110111100000011010101111010000101001011110111010001110111000111101011100111001000001010011000010101100010000111010010001100000011101011010100101111101000101001101000010111111101010000101010111100011111100011100010101100011011000100011010101100011000011100111010110010111100100111110101111001101011001111111010011011000010001111110100001100101111111001111101000101110001001010110011101001010101001110011010101011010000100100110111001100000100000010101001011110100111100001001011111010010100011101111001101100000011000100001000100111111001100100001010111101111100000001101000000110010010111110000100010001000001001100011011111010101001001101000001101000100110000010110011110000000010110101101011010110110011000001110001100000000010010101001110000000000001101101001010100011101101001101001000011010101000110000100000000110111110001001010110010001100010011101001011001111110010111001101100000101110000001100101111110011110110011000111110110111010000010110001010101011101010111011110111001100100101010010110110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0110000110110001011001101011000111101101000000101111001000101010011001100011110111011101011010011110101011100010001110011111101100000011001000110101000111101101111111001101111101111110100011001110101111101010100001110000000011100000000000000100001101010100000101110010110011110110111101111100011000010010110011100100011001011000100010000111001110011000101111011010111101110011000100000111010010101001000010101110001101110000101000110101011011010010101010111011101001111111000010000'
# run_fips_test(tmp[0:20000])
# testing nist
p = 1024
h = Hadamar(p)
cs = CryptoSignal(p)
# 2048 pfak 140
# 256 pfak 32
# 16 pfak 4
# 512 pfak 52
# 1024 pfak 81
# 64 pfak 8
hadamar_sig_list = h.getHadamMatrix()
write_list_to_file(hadamar_sig_list, "hadamar" + str(p) + ".txt")
# generating CS ensemble
crypto_sig_ansam = cs.genereteAnsambleOfCryptoSig(5, 81)
print("\nCRYPTOSIG")
# print(len(only_decimated_signals))
# asnsam_pfak_list = cal.auto_corel_all(only_decimated_signals, "PFAK")
# cal.printFullStat(asnsam_pfak_list, 1, 256 - 1, True)
# cal.printFullStat(asnsam_pfak_list, 1, 256 - 1)
pfak_function = modules.arr_procedures.ansamble_correlation('PFAK')
afak_function = modules.arr_procedures.ansamble_correlation('AFAK')
pfvk_function = modules.arr_procedures.ansamble_correlation('PFVK')
afvk_function = modules.arr_procedures.ansamble_correlation('AFVK')
pfak_function(only_decimated_signals[1:10])
afak_function(only_decimated_signals[1:10])
pfvk_function(only_decimated_signals[1:10])
afvk_function(only_decimated_signals[1:10])
if __name__ == '__main__':
# Generating random sequence with 256 el
cs = CryptoSignal(256)
source_sig = cs.generateDefRandomSeq(32)
#Source signal calculate PFAK, AFAK
pfak_list, afak_list = test_auto_correl(source_sig, len(source_sig))
cal.printFullStat([pfak_list], 1, len(source_sig) - 1, True)
# Getting singals created with decimation method
decimations = modules.arr_procedures.getDecimation(source_sig)
test_stat_correl(decimations)
#For each decimation signal calculate PFAK AFAK
import modules.arr_procedures
from classes.CryptoSignal import CryptoSignal
from modules import calculations as cal, plot
if __name__ == "__main__":
p = 256
cs = CryptoSignal(p)
# путем ручного тестирования первое число длина сигнала, второе оптимальный
# минимальный пфак по которому будут отбирать
# сигналы, при таком пфак возможно найти сигналы с 0 пиками вблизи центра,
# если меньше установить ,то на поиски уйдет больше времени
# 2048 pfak 140
# 256 pfak 32
# 16 pfak 4
# 1024 81pfak
crypto_sig_ansam = cs.genereteAnsambleOfCryptoSig_zero(3, 50)
print("\nPFAK CRYPTOGRAPHIC SIGNALS")
ansam_pfak_list = modules.arr_procedures.auto_corel_all(
crypto_sig_ansam, "PFAK")
for i in range(0, len(crypto_sig_ansam)):
print(i + 1, ")", crypto_sig_ansam[i])
print("PFAK: ", ansam_pfak_list[i])
plot.build_plotly(ansam_pfak_list[i],
"ПФАК КС №{0} L = {1}".format(i + 1, p))