Research Article
Multiple Differential Distinguisher of SIMECK32/64 Based on Deep Learning
| | Input: model F | | | sample number M | | | Output: acc | | (1) | TD’← (X (C0…Cm − 1), Y)/∗generate test data set∗/ | | (2) | sum = 0 | | (3) | for i = 0 to M − 1 do | | (4) | if F(Ci) = 1 | | (5) | sum++ | | (6) | end if | | (7) | end for | | (8) | return acc = sum/m |
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