On the confusion coefficient of Boolean functions
The notion of the confusion coefficient is a property that attempts to characterize confusion property of cryptographic algorithms against differential power analysis. In this article, we establish a relationship between the confusion coefficient and the autocorrelation function for any Boolean func...
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De Gruyter
2021
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oai:doaj.org-article:e0fffade7c37422c90c23cfbfa654dec2021-12-05T14:10:52ZOn the confusion coefficient of Boolean functions1862-298410.1515/jmc-2021-0012https://doaj.org/article/e0fffade7c37422c90c23cfbfa654dec2021-08-01T00:00:00Zhttps://doi.org/10.1515/jmc-2021-0012https://doaj.org/toc/1862-2984The notion of the confusion coefficient is a property that attempts to characterize confusion property of cryptographic algorithms against differential power analysis. In this article, we establish a relationship between the confusion coefficient and the autocorrelation function for any Boolean function and give a tight upper bound and a tight lower bound on the confusion coefficient for any (balanced) Boolean function. We also deduce some deep relationships between the sum-of-squares of the confusion coefficient and other cryptographic indicators (the sum-of-squares indicator, hamming weight, algebraic immunity and correlation immunity), respectively. Moreover, we obtain some trade-offs among the sum-of-squares of the confusion coefficient, the signal-to-noise ratio and the redefined transparency order for a Boolean function.Zhou YuHu JianyongMiao XudongHan YuZhang FuzhongDe Gruyterarticleboolean functiondifferential power analysisconfusion coefficientsignal-to-noise ratioredefined transparency order94c1094a6006e30MathematicsQA1-939ENJournal of Mathematical Cryptology, Vol 16, Iss 1, Pp 1-13 (2021) |
institution |
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collection |
DOAJ |
language |
EN |
topic |
boolean function differential power analysis confusion coefficient signal-to-noise ratio redefined transparency order 94c10 94a60 06e30 Mathematics QA1-939 |
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boolean function differential power analysis confusion coefficient signal-to-noise ratio redefined transparency order 94c10 94a60 06e30 Mathematics QA1-939 Zhou Yu Hu Jianyong Miao Xudong Han Yu Zhang Fuzhong On the confusion coefficient of Boolean functions |
description |
The notion of the confusion coefficient is a property that attempts to characterize confusion property of cryptographic algorithms against differential power analysis. In this article, we establish a relationship between the confusion coefficient and the autocorrelation function for any Boolean function and give a tight upper bound and a tight lower bound on the confusion coefficient for any (balanced) Boolean function. We also deduce some deep relationships between the sum-of-squares of the confusion coefficient and other cryptographic indicators (the sum-of-squares indicator, hamming weight, algebraic immunity and correlation immunity), respectively. Moreover, we obtain some trade-offs among the sum-of-squares of the confusion coefficient, the signal-to-noise ratio and the redefined transparency order for a Boolean function. |
format |
article |
author |
Zhou Yu Hu Jianyong Miao Xudong Han Yu Zhang Fuzhong |
author_facet |
Zhou Yu Hu Jianyong Miao Xudong Han Yu Zhang Fuzhong |
author_sort |
Zhou Yu |
title |
On the confusion coefficient of Boolean functions |
title_short |
On the confusion coefficient of Boolean functions |
title_full |
On the confusion coefficient of Boolean functions |
title_fullStr |
On the confusion coefficient of Boolean functions |
title_full_unstemmed |
On the confusion coefficient of Boolean functions |
title_sort |
on the confusion coefficient of boolean functions |
publisher |
De Gruyter |
publishDate |
2021 |
url |
https://doaj.org/article/e0fffade7c37422c90c23cfbfa654dec |
work_keys_str_mv |
AT zhouyu ontheconfusioncoefficientofbooleanfunctions AT hujianyong ontheconfusioncoefficientofbooleanfunctions AT miaoxudong ontheconfusioncoefficientofbooleanfunctions AT hanyu ontheconfusioncoefficientofbooleanfunctions AT zhangfuzhong ontheconfusioncoefficientofbooleanfunctions |
_version_ |
1718371655463469056 |