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Implement TRNG attack

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This commit is contained in:
Manuel Thalmann 2023-12-19 19:13:24 +01:00
parent d94acaa277
commit e5c5959908
2 changed files with 11 additions and 3 deletions
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8
HWBTutorials.code-workspace
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@ -177,6 +177,14 @@
"args": [], "args": [],
"cwd": "${workspaceFolder:AES Intrinsic}", "cwd": "${workspaceFolder:AES Intrinsic}",
"preLaunchTask": "Build AES Intrinsic Project" "preLaunchTask": "Build AES Intrinsic Project"
},
{
"type": "python",
"request": "launch",
"name": "Run TRNG Attack",
"program": "${workspaceFolder:TRNG Attack}/attack_student.py",
"args": [],
"cwd": "${workspaceFolder:TRNG Attack}"
} }
], ],
"compounds": [] "compounds": []

6
TRNG_attack/attack_student.py
View file

@ -14,14 +14,14 @@ if __name__ == '__main__':
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 = traces > 128 # 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(traces[:,0:-2] & traces[:,1:-1]) & traces[:,2:] # finding rising edges, each rising edge is represented by True rising_edges = np.logical_not(traces_bin[:,0:-2]) & np.logical_not(traces_bin[:,1:-1]) & traces_bin[:,2:] # finding rising edges, each rising edge is represented by True
cnt = np.count_nonzero(rising_edges, 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 & 0x03 # 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