Randomised multi‐modulo residue number system architecture for double‐and‐add to prevent power analysis side channel attacks
Author:
Affiliation:
1. School of Computer Science and EngineeringUniversity of New South WalesSydneyAustralia
2. Instituto de Engenharia de Sistemas e Computadores (INESC‐ID)Instituto Superior Tecnico (IST)Lisboa1000‐029Portugal
Funder
Nuclear Fuel Cycle and Supply Chain
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cds.2012.0367
Reference31 articles.
1. Kocher P. Jaffe J. Jun B.: ‘Differential power analysis’.CRYPTO 1999 pp.388–397
2. Messerges T.S. Dabbish E.A. Sloan R.H.: ‘Investigations of power analysis attacks on smartcards’.WOST 1999 pp.17–30
3. Afreen R. Mehrotra S.C.: ‘A review on elliptic curve cryptography for embedded systems’.CoRR 2011
4. Oswald E.: ‘Enhancing simple power‐analysis attacks on elliptic curve cryptosystems’.CHES 2002
5. Coron J.‐S.: ‘Resistance against differential power analysis for elliptic curve cryptosystems’.CHES 1999
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1. Pseudo-random scalar multiplication based on group isomorphism;Journal of Information Security and Applications;2020-08
2. Efficient RNS Scalers for the Extended Three-Moduli Set $(2^{n}-1, 2^{n+p}, 2^{n}+1)$;IEEE Transactions on Computers;2017-07-01
3. Residue Number Systems: A New Paradigm to Datapath Optimization for Low-Power and High-Performance Digital Signal Processing Applications;IEEE Circuits and Systems Magazine;2015
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