def produceMasterProfileFAR(text, user):
all_keyHoldTime = []
all_interkeyTime = []
filename = 'processedData/text{0}/user{1}.json'.format(text, user)
with open(filename, 'r') as f:
data = [json.loads(line) for line in f]
outliers = getPositionOfOutliers(text, user)
data = [timings for i, timings in enumerate(data) if not i in outliers]
for i, timings in enumerate(data):
ikt = calculateInterkeyTime(timings['keyPressData'],
timings['keyReleaseData'])
kht = calculateKeyHoldTime(timings['keyPressData'],
timings['keyReleaseData'])
if len(ikt) > len(kht):
del ikt[-1]
elif len(kht) > len(ikt):
del kht[-1]
all_interkeyTime.append(ikt)
all_keyHoldTime.append(kht)
master_interkeyTime = [
statistics.mean(time) for time in zip(*all_interkeyTime)
]
master_keyHoldTime = [
statistics.mean(time) for time in zip(*all_keyHoldTime)
]
return (master_interkeyTime, master_keyHoldTime, all_interkeyTime,
all_keyHoldTime)
def profilePlot():
all_keyHoldTime = []
all_interkeyTime = []
for user in range(1, 2):
for text in range(1, 2):
filename = 'processedData/text{0}/user{1}.json'.format(text, user)
with open(filename, 'r') as f:
data = [json.loads(line) for line in f]
outliers = getPositionOfOutliers(text, user)
data = [
timings for i, timings in enumerate(data) if not i in outliers
]
for i, timings in enumerate(data):
ikt = calculateInterkeyTime(timings['keyPressData'],
timings['keyReleaseData'])
kht = calculateKeyHoldTime(timings['keyPressData'],
timings['keyReleaseData'])
if len(ikt) > len(kht):
del ikt[-1]
elif len(kht) > len(ikt):
del kht[-1]
all_interkeyTime.append(ikt)
all_keyHoldTime.append(kht)
fig = int('{}{}'.format(user, text))
plt.figure(fig)
plt.plot([i / 10000 for i in kht], [i / 10000 for i in ikt])
plt.xlabel('Key Hold Time (*10^4)(microseconds)')
plt.ylabel('Interkey Time (*10^4)(microseconds)')
plt.savefig('user{}-text{}.png'.format(user, text))
def authenticateFRR(user, text, comparator):
master_ikt, master_kht, c, d = produceMasterProfileFRR(text, user)
count = 0
allUserCount = 0
filename = 'processedData/text{0}/user{1}.json'.format(text, user)
with open(filename, 'r') as f:
data = [json.loads(line) for line in f]
outliers = getPositionOfOutliers(text, user)
data = [timings for i, timings in enumerate(data) if not i in outliers]
for timings in data[5:]:
ikt = calculateInterkeyTime(timings['keyPressData'],
timings['keyReleaseData'])
kht = calculateKeyHoldTime(timings['keyPressData'],
timings['keyReleaseData'])
if len(ikt) > len(kht):
del ikt[-1]
elif len(kht) > len(ikt):
del kht[-1]
euclideanDistance = [
((x1 - x2)**2 + (y1 - y2)**2)**(1 / 2)
for x1, y1, x2, y2 in zip(master_ikt, master_kht, ikt, kht)
]
dissimilarity = sum(euclideanDistance)
authenticationValue = 1 if dissimilarity <= comparator else 0
user = '******' if authenticationValue == 1 else 'Imposter'
if user == 'Imposter':
count += 1
allUserCount += 1
return ((count / allUserCount) * 100)
def produceMasterProfileFRR(text, user):
all_keyHoldTime = []
all_interkeyTime = []
filename = 'processedData/text{0}/user{1}.json'.format(text, user)
with open(filename, 'r') as f:
data = [json.loads(line) for line in f]
outliers = getPositionOfOutliers(text, user)
data = [timings for i, timings in enumerate(data) if not i in outliers]
# here only 5 records have been used because after removing outliers around 20 records are only left
# per user; so only 5 for master profile generation and remaining for authentication
for timings in data[:5]:
ikt = calculateInterkeyTime(timings['keyPressData'],
timings['keyReleaseData'])
kht = calculateKeyHoldTime(timings['keyPressData'],
timings['keyReleaseData'])
if len(ikt) > len(kht):
del ikt[-1]
elif len(kht) > len(ikt):
del kht[-1]
all_interkeyTime.append(ikt)
all_keyHoldTime.append(kht)
master_interkeyTime = [
statistics.mean(time) for time in zip(*all_interkeyTime)
]
master_keyHoldTime = [
statistics.mean(time) for time in zip(*all_keyHoldTime)
]
return (master_interkeyTime, master_keyHoldTime, all_interkeyTime,
all_keyHoldTime)