MLP models identify fault locations with accuracies 0.999880, 0.999231 and 0.823568 on ACORNv3, MORUSv2 and ATOM, enabling state recovery with 21-34 faults for ACORN and 213-248 for MORUS under a relaxed single-bit fault model.
In: Advances in Cryptology – CRYPTO 2019: 39th Annual International Cryptology Conference, Santa Barbara, CA, USA, August 18–22
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Deep Learning-Assisted Improved Differential Fault Attacks on Lightweight Stream Ciphers
MLP models identify fault locations with accuracies 0.999880, 0.999231 and 0.823568 on ACORNv3, MORUSv2 and ATOM, enabling state recovery with 21-34 faults for ACORN and 213-248 for MORUS under a relaxed single-bit fault model.