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The notion of the signal-to-noise ratio (*SNR*), proposed by Guilley, et al. in 2004, is a property that attempts to characterize the resilience of (*n*, *m*)-functions *F*=(*f*_{1},...,*f _{m}*) (cryptographic S-boxes) against differential power analysis. But how to study the signal-to-noise ratio for a Boolean function still appears to be an important direction. In this paper, we give a tight upper and tight lower bounds on

- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E103-A No.12 pp.1659-1665

- Publication Date
- 2020/12/01

- Publicized
- 2020/05/25

- Online ISSN
- 1745-1337

- DOI
- 10.1587/transfun.2020EAL2037

- Type of Manuscript
- LETTER

- Category
- Cryptography and Information Security

Yu ZHOU

the Science and Technology on Communication Security Laboratory

Wei ZHAO

the Science and Technology on Communication Security Laboratory

Zhixiong CHEN

Putian University

Weiqiong WANG

Chang'an University

Xiaoni DU

Northwest Normal University

The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.

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Yu ZHOU, Wei ZHAO, Zhixiong CHEN, Weiqiong WANG, Xiaoni DU, "On the Signal-to-Noise Ratio for Boolean Functions" in IEICE TRANSACTIONS on Fundamentals,
vol. E103-A, no. 12, pp. 1659-1665, December 2020, doi: 10.1587/transfun.2020EAL2037.

Abstract: The notion of the signal-to-noise ratio (*SNR*), proposed by Guilley, et al. in 2004, is a property that attempts to characterize the resilience of (*n*, *m*)-functions *F*=(*f*_{1},...,*f _{m}*) (cryptographic S-boxes) against differential power analysis. But how to study the signal-to-noise ratio for a Boolean function still appears to be an important direction. In this paper, we give a tight upper and tight lower bounds on

URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2020EAL2037/_p

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@ARTICLE{e103-a_12_1659,

author={Yu ZHOU, Wei ZHAO, Zhixiong CHEN, Weiqiong WANG, Xiaoni DU, },

journal={IEICE TRANSACTIONS on Fundamentals},

title={On the Signal-to-Noise Ratio for Boolean Functions},

year={2020},

volume={E103-A},

number={12},

pages={1659-1665},

abstract={The notion of the signal-to-noise ratio (*SNR*), proposed by Guilley, et al. in 2004, is a property that attempts to characterize the resilience of (*n*, *m*)-functions *F*=(*f*_{1},...,*f _{m}*) (cryptographic S-boxes) against differential power analysis. But how to study the signal-to-noise ratio for a Boolean function still appears to be an important direction. In this paper, we give a tight upper and tight lower bounds on

keywords={},

doi={10.1587/transfun.2020EAL2037},

ISSN={1745-1337},

month={December},}

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TY - JOUR

TI - On the Signal-to-Noise Ratio for Boolean Functions

T2 - IEICE TRANSACTIONS on Fundamentals

SP - 1659

EP - 1665

AU - Yu ZHOU

AU - Wei ZHAO

AU - Zhixiong CHEN

AU - Weiqiong WANG

AU - Xiaoni DU

PY - 2020

DO - 10.1587/transfun.2020EAL2037

JO - IEICE TRANSACTIONS on Fundamentals

SN - 1745-1337

VL - E103-A

IS - 12

JA - IEICE TRANSACTIONS on Fundamentals

Y1 - December 2020

AB - The notion of the signal-to-noise ratio (*SNR*), proposed by Guilley, et al. in 2004, is a property that attempts to characterize the resilience of (*n*, *m*)-functions *F*=(*f*_{1},...,*f _{m}*) (cryptographic S-boxes) against differential power analysis. But how to study the signal-to-noise ratio for a Boolean function still appears to be an important direction. In this paper, we give a tight upper and tight lower bounds on

ER -