manuth/HWBTutorials
1
0
Fork 0
Code Issues Pull requests Packages Projects Releases Wiki Activity

Try solving TRNG Attack

Browse source
This commit is contained in:
Manuel Thalmann 2023-12-05 19:36:31 +01:00
parent da3db1a167
commit 46eb7d2776
1 changed files with 5 additions and 5 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

10
TRNG_attack/attack_student.py
View file

@ -13,15 +13,15 @@ if __name__ == '__main__':
traces = np.fromfile("data.bin", dtype='uint8') # reading traces for individual ROs traces = np.fromfile("data.bin", dtype='uint8') # reading traces for individual ROs
traces = np.reshape(traces, (traces.size//tracelen, tracelen)) # reshape of matrix, each row contains the trace for one RO traces = np.reshape(traces, (traces.size//tracelen, tracelen)) # reshape of matrix, each row contains the trace for one RO
traces_bin = ??? # conversion of waveforms to rectangles - everything below threshold is 0, otherwise 1 (they are boolean values actually) traces_bin = traces > 128 # conversion of waveforms to rectangles - everything below threshold is 0, otherwise 1 (they are boolean values actually)
rising_edges = np.logical_not(???) & ??? # finding rising edges, each rising edge is represented by True rising_edges = np.logical_not(traces[:,0:-2] & traces[:,1:-1]) & traces[:,2:] # finding rising edges, each rising edge is represented by True
cnt = np.count_nonzero(???, axis=1) # count the number of rising edges in rows cnt = np.count_nonzero(rising_edges, axis=1) # count the number of rising edges in rows
# cnt is now a 1D vector # cnt is now a 1D vector
cnt = cnt.reshape(TRNG_PAIR_CNT,2).min(axis=1) # Reshape of the count array into matrix, where each row contains 2 values - the number of rising edges for two ROs in a pair. Then we select the smaller value. cnt = cnt.reshape(TRNG_PAIR_CNT,2).min(axis=1) # Reshape of the count array into matrix, where each row contains 2 values - the number of rising edges for two ROs in a pair. Then we select the smaller value.
cnt_sel = cnt & ?x???? # select only the two least significant bits #cnt_sel = cnt & ?x???? # select only the two least significant bits
estimate = ''.join([np.binary_repr(x, width=2) for x in cnt_sel]) # binary representation of the values (the last 2 bits) and joining them into one string #estimate = ''.join([np.binary_repr(x, width=2) for x in cnt_sel]) # binary representation of the values (the last 2 bits) and joining them into one string
print('{0:0>32x}'.format(int(estimate, 2))) print('{0:0>32x}'.format(int(estimate, 2)))
print(trng_val) # from data_info, output of the RNG in FPGA print(trng_val) # from data_info, output of the RNG in FPGA