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Improved Conditional Differential Analysis on NLFSR-Based Block Cipher KATAN32 with MILP
2020
Wireless Communications and Mobile Computing
In this paper, a new method for constructing a Mixed Integer Linear Programming (MILP) model on conditional differential cryptanalysis of the nonlinear feedback shift register- (NLFSR-) based block ciphers is proposed, and an approach to detecting the bit with a strongly biased difference is provided. The model is successfully applied to the block cipher KATAN32 in the single-key scenario, resulting in practical key-recovery attacks covering more rounds than the previous. In particular, we
doi:10.1155/2020/8883557
fatcat:sg4w22blenbzxpgek32tegq3ve