Paper 2020/349 Original: eprint.iacr.org/2020/349 ↗
Differential Power Analysis on (Non-)Linear Feedback Shift Registers
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.
Metadata
- Available format(s)
PDF- Category
- Secret-key cryptography
- Publication info
- Preprint.
- History
- 2020-03-30: last updated
- 2020-03-26: published
- Short URL
- https://ia.cr/2020/349
- License
- https://creativecommons.org/licenses/by/4.0/
BibTeX
@misc{cryptoeprint:2020/349,
author = {Siang Meng Sim},
title = {Differential Power Analysis on (Non-)Linear Feedback Shift Registers},
howpublished = {Cryptology {ePrint} Archive, Paper 2020/349},
year = {2020},
url = {https://eprint.iacr.org/2020/349}
}