Augmented sets of output differences and new distinguishers for SPN ciphers

We introduce augmented vector spaces of output differences, new generic and black-box distinguishers for Substitution Permutation Network (SPN) ciphers. Our distinguishers are based on a novel method of constructing a vector of size <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msup><mml:mi>n</mml:mi> <mml:mrow><mml:mo>(</mml:mo> <mml:mi>d</mml:mi> <mml:mo>)</mml:mo></mml:mrow> </mml:msup> </mml:math> bits from a given vector of size n bits, where <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msup><mml:mi>n</mml:mi> <mml:mrow><mml:mo>(</mml:mo> <mml:mi>d</mml:mi> <mml:mo>)</mml:mo></mml:mrow> </mml:msup> <mml:mo>=</mml:mo> <mml:msubsup><mml:mo>∑</mml:mo> <mml:mrow><mml:mi>i</mml:mi> <mml:mo>=</mml:mo> <mml:mn>1</mml:mn></mml:mrow> <mml:mi>d</mml:mi></mml:msubsup> <mml:mfenced> <mml:mrow> <mml:mtable> <mml:mtr><mml:mtd><mml:mi>n</mml:mi></mml:mtd> </mml:mtr> <mml:mtr> <mml:mtd><mml:mrow><mml:mrow></mml:mrow> <mml:mi>i</mml:mi></mml:mrow> </mml:mtd> </mml:mtr> </mml:mtable> </mml:mrow> </mml:mfenced> </mml:mrow> </mml:math> and d is a positive integer. We list all such <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msup><mml:mi>n</mml:mi> <mml:mrow><mml:mo>(</mml:mo> <mml:mi>d</mml:mi> <mml:mo>)</mml:mo></mml:mrow> </mml:msup> </mml:math> -bit vectors into a set called the corresponding <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msup><mml:mi>d</mml:mi> <mml:mrow><mml:mi>th</mml:mi></mml:mrow> </mml:msup> </mml:math> -order augmented set and define its linear span as the corresponding <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msup><mml:mi>d</mml:mi> <mml:mrow><mml:mi>th</mml:mi></mml:mrow> </mml:msup> </mml:math> -order augmented vector space . These sets are related to Reed-Muller codes and we prove that the rank of linear span of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msup><mml:mi>d</mml:mi> <mml:mrow><mml:mi>th</mml:mi></mml:mrow> </mml:msup> </mml:math> -order augmented set is <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msup><mml:mi>n</mml:mi> <mml:mrow><mml:mo>(</mml:mo> <mml:mi>d</mml:mi> <mml:mo>)</mml:mo></mml:mrow> </mml:msup> </mml:math> using Reed-Muller codes. We then experimentally estimate the number of n-bit vectors required to span augmented vector spaces of output differences. Following these results, we give a generic and efficient algorithm to compute <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msup><mml:mi>d</mml:mi> <mml:mrow><mml:mi>th</mml:mi></mml:mrow> </mml:msup> </mml:math> -order augmented vector space (of difference sets) for substitution permutation network ciphers. We apply our algorithm to lightweight ciphers GIFT, PRESENT and SKINNY and provide in-depth comparison of round-reduced ciphers' distinguishers with random sets. Most notably, our new distinguishers for these ciphers cover more rounds than the subspace trails.

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Journal
Scientific Reports
Published
2024-08-30
DOI
https://doi.org/10.1038/s41598-024-69361-z
Primary Topic
Cryptographic Implementations and Security
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article
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article

Augmented sets of output differences and new distinguishers for SPN ciphers

Santanu Sarkar, Raghvendra Rohit, Rahul Girme
Scientific Reports
Cryptographic Implementations and Security
article

Augmented sets of output differences and new distinguishers for SPN ciphers

Santanu Sarkar, Raghvendra Rohit, Rahul Girme
article en

Abstract

We introduce augmented vector spaces of output differences, new generic and black-box distinguishers for Substitution Permutation Network (SPN) ciphers. Our distinguishers are based on a novel method of constructing a vector of size <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msup><mml:mi>n</mml:mi> <mml:mrow><mml:mo>(</mml:mo> <mml:mi>d</mml:mi> <mml:mo>)</mml:mo></mml:mrow> </mml:msup> </mml:math> bits from a given vector of size n bits, where <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow><mml:msup><mml:mi>n</mml:mi> <mml:mrow><mml:mo>(</mml:mo> <mml:mi>d</mml:mi> <mml:mo>)</mml:mo></mml:mrow> </mml:msup> <mml:mo>=</mml:mo> <mml:msubsup><mml:mo>∑</mml:mo> <mml:mrow><mml:mi>i</mml:mi> <mml:mo>=</mml:mo> <mml:mn>1</mml:mn></mml:mrow> <mml:mi>d</mml:mi></mml:msubsup> <mml:mfenced> <mml:mrow> <mml:mtable> <mml:mtr><mml:mtd><mml:mi>n</mml:mi></mml:mtd> </mml:mtr> <mml:mtr> <mml:mtd><mml:mrow><mml:mrow></mml:mrow> <mml:mi>i</mml:mi></mml:mrow> </mml:mtd> </mml:mtr> </mml:mtable> </mml:mrow> </mml:mfenced> </mml:mrow> </mml:math> and d is a positive integer. We list all such <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msup><mml:mi>n</mml:mi> <mml:mrow><mml:mo>(</mml:mo> <mml:mi>d</mml:mi> <mml:mo>)</mml:mo></mml:mrow> </mml:msup> </mml:math> -bit vectors into a set called the corresponding <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msup><mml:mi>d</mml:mi> <mml:mrow><mml:mi>th</mml:mi></mml:mrow> </mml:msup> </mml:math> -order augmented set and define its linear span as the corresponding <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msup><mml:mi>d</mml:mi> <mml:mrow><mml:mi>th</mml:mi></mml:mrow> </mml:msup> </mml:math> -order augmented vector space . These sets are related to Reed-Muller codes and we prove that the rank of linear span of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msup><mml:mi>d</mml:mi> <mml:mrow><mml:mi>th</mml:mi></mml:mrow> </mml:msup> </mml:math> -order augmented set is <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msup><mml:mi>n</mml:mi> <mml:mrow><mml:mo>(</mml:mo> <mml:mi>d</mml:mi> <mml:mo>)</mml:mo></mml:mrow> </mml:msup> </mml:math> using Reed-Muller codes. We then experimentally estimate the number of n-bit vectors required to span augmented vector spaces of output differences. Following these results, we give a generic and efficient algorithm to compute <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msup><mml:mi>d</mml:mi> <mml:mrow><mml:mi>th</mml:mi></mml:mrow> </mml:msup> </mml:math> -order augmented vector space (of difference sets) for substitution permutation network ciphers. We apply our algorithm to lightweight ciphers GIFT, PRESENT and SKINNY and provide in-depth comparison of round-reduced ciphers' distinguishers with random sets. Most notably, our new distinguishers for these ciphers cover more rounds than the subspace trails.

Scientific ReportsVol. 14(1)
Indian Institute of Technology Madras (IN), Technology Innovation Institute (AE)
Openalex Percentile: Top 88%
Cryptographic Implementations and Security
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