Welcome to the resource topic for 2020/349
Title:
Differential Power Analysis on (Non-)Linear Feedback Shift Registers
Authors: Siang Meng Sim
Abstract:Differential power analysis (DPA) is a statistical analysis of the power traces of cryptographic computations. DPA has many applications including key-recovery on linear feedback shift register based stream ciphers. In 2017, Dobraunig et. al. presented a DPA on Keymill to uncover the bit relations of neighbouring bits in the shift registers, effectively reduces the internal state guessing space to 4-bit. In this work, we generalise the analysis methodology to uncover more bit relations on both linear feedback shift registers (LFSRs) and non-linear feedback shift registers (NLFSRs) and with application to fresh re-keying scheme — LR-Keymill. In addition, we improve the DPA on Keymill by halving the data resources needed for the attack.
ePrint: https://eprint.iacr.org/2020/349
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