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conference paper

Bias Cancellation of MixColumns

Banik, Subhadeep  
•
Caforio, Andrea  
•
Papagiannopoulos, Kostas
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January 1, 2022
Security, Privacy, And Applied Cryptography Engineering, Space 2022
12th International Conference on Security, Privacy, and Applied Cryptography Engineering 2022 (SPACE)

At COSADE'2020, Carre et al. established a novel biascancelling property of the AES MixColumns matrix that effectively corrects any skewed output distribution of a state byte due to a faulty substitution box. Consequently, any effected byte is rendered uniform upon passing through the MixColumns layer.

In this work in progress paper, we revisit and generalize this result and in the process identify a large class of matrices that exhibit this bias cancellation phenomenon and conclude with a foray into how this property is advantageous in the design of countermeasures against Persistent Fault Injections.

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  • Metrics
Type
conference paper
DOI
10.1007/978-3-031-22829-2_4
Web of Science ID

WOS:000927578200004

Author(s)
Banik, Subhadeep  
Caforio, Andrea  
Papagiannopoulos, Kostas
Regazzoni, Francesco
Date Issued

2022-01-01

Publisher

SPRINGER INTERNATIONAL PUBLISHING AG

Publisher place

Cham

Published in
Security, Privacy, And Applied Cryptography Engineering, Space 2022
ISBN of the book

978-3-031-22828-5

978-3-031-22829-2

Series title/Series vol.

Lecture Notes in Computer Science

Volume

13783

Start page

70

End page

80

Subjects

Computer Science, Information Systems

•

Computer Science, Theory & Methods

•

Mathematics, Applied

•

Computer Science

•

Mathematics

•

block cipher

•

pfa

•

aes

•

mixcolumns

•

countermeasure

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LASEC  
Event nameEvent placeEvent date
12th International Conference on Security, Privacy, and Applied Cryptography Engineering 2022 (SPACE)

Jaipur, INDIA

Dec 09-12, 2022

Available on Infoscience
March 13, 2023
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/195789
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