def remote_agreement_debug(self, fingerprint_debug, hash, delta):
"""THIS IS A DEBUG FUNCTION
using the fingerprint from the client
Using this means NO security!
8. Key Agreement on Server
generates fingerprint and decommits
using received ``hash`` and ``delta``
:param hash: SHA-512 Hash of codeword c
:type hash: str
:param delta: difference
:type delta: list
"""
log.info('8. Key Agreement on Server')
#===============================================================================
# Fingerprinting and Fuzzy Cryptography
#===============================================================================
# generate fingerprint, not used see possible fingerprints
self.fingerprint = fingerprint_energy_diff.get_fingerprint(self.recording_data, self.recording_samplerate)
# save fingerprint for debugging
scipy.savetxt("server_fingerprint.txt", self.fingerprint)
log.debug('Bob fingerprint:\n'+str(self.fingerprint))
# get possible fingerprints
possible_fingerprints = get_possible_fingerprints(self.recording_data, self.recording_samplerate)
# DEBUG
length = len(fingerprint_debug)
distances = []
for fingerprint in possible_fingerprints:
# calculate hamming distance between fingerprints
distance = hamming_distance(fingerprint, fingerprint_debug)
print('Distance: '+str(distance)+' of '+str(length))
print('Correlation percentage: '+str(1-float(distance)/float(length)))
distances += [distance]
min_distance = min(distances)
min_correlation = 1-float(min(distances))/float(length)
print('Minimal distance: '+str(min_distance)+' of '+str(length))
print('Minimal correlation percentage: '+str(min_correlation))
try:
minimals = scipy.genfromtxt(self.debug_file)
except Exception, err:
log.error('%s' % str(err))
print('first time, so creating minimals')
minimals = scipy.array([])
# fingerprinting based on energy difference
import fingerprint_energy_diff
import logging
# Logging all above INFO level, output to stderr
logging.basicConfig(#format='%(asctime)s %(levelname)-8s %(message)s')
format='%(levelname)-8s %(message)s')
log = logging.getLogger("fuzzy_pairing")
log.setLevel(logging.DEBUG)
# load channels:
left_channel, samplerate = load_mono(base+'1.5_3/high/music5.wav')
right_channel, samplerate = load_mono(base+'1.5_3/high/music1.wav')
# fingerprint energy diff
fingerprint_left = fingerprint_energy_diff.get_fingerprint(left_channel, samplerate)
fingerprint_right = fingerprint_energy_diff.get_fingerprint(right_channel, samplerate)
print repr(fingerprint_left)
print repr(fingerprint_right)
# calculate hamming distance between fingerprints
distance = hamming_distance(fingerprint_left, fingerprint_right)
length = len(fingerprint_left)
print length, distance
print('Correlation %: '+str(1-float(distance)/float(length)))
from scipy import genfromtxt
def move_right(fingerprint, steps):
for i in range(steps):
fingerprint = scipy.hstack((fingerprint[-1:], fingerprint[0:-1]))
return fingerprint
def move_left(fingerprint, steps):
for i in range(steps):
fingerprint = scipy.hstack((fingerprint[1:], fingerprint[0:1]))
return fingerprint
fingerprint1 = genfromtxt("server_fingerprint.txt")
fingerprint2 = genfromtxt("client_fingerprint.txt")
for i in range(1,10):
print fingerprint1
print fingerprint2
hdistance = hamming_distance(fingerprint1, fingerprint2)
length = len(fingerprint1)
percent = 100-(float(hdistance)/float(length)*100)
print i, hdistance, length, percent
# move it!
fingerprint2 = move_left(fingerprint2, i)
