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inject_fuzzy.py
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inject_fuzzy.py
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import pandas as pd
import numpy as np
from pandarallel import pandarallel
import matplotlib.pyplot as plt
import glob
import itertools
import random
import math
pandarallel.initialize()
np.random.seed(0)
# The inject_fuzzy function expects the original delay x and the covert channel configuration tau and returns the modified delay
def inject_fuzzy(x, tau):
thresh = (3*tau)/2
if x < thresh:
res = np.abs(np.random.normal(0.0,scale=thresh/7))
while res > thresh:
res = np.abs(np.random.normal(0.0,scale=thresh/7))
return res
else:
return np.random.choice(np.arange(thresh,2.4*tau,0.001))
# Example Usage
# Set tau corresponding to covert channel configuration
tau = 5 / 1000
# Read CSV
input = pd.read_csv("iat.csv")
# Get IATs
iat_cov = input["IAT"]
iat_fuzz = pd.DataFrame()
# Inject fuzziness
iat_fuzz = iat_cov.parallel_apply(lambda x: inject_fuzzy(x,tau))
print(iat_fuzz)