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Spectral analysis of ZUC-256

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Paper by Jing Yang, Thomas Johansson, Alexander Maximov presented at FSE 2020 See https://iacr.org/cryptodb/data/paper..... The conference program is at https://fse.iacr.org/2020/program.php

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Spectral analysis of ZUC-256

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415Views

2020Nov 5

Paper by Jing Yang, Thomas Johansson, Alexander Maximov presented at FSE 2020 See https://iacr.org/cryptodb/data/paper..... The conference program is at https://fse.iacr.org/2020/program.php

Spectral analysis of ZUC-256

0:00

Introduction of ZUC-128/256

0:36

Linear approximation: 1+2+2XGF (216)

2:41

Linear approximation: Deriving biased samples

4:30

Transcript

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IACR

9.87K subscribers

Spectral analysis of ZUC-256

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Key moments View all

Spectral analysis of ZUC-256

Spectral analysis of ZUC-256

Spectral analysis of ZUC-256

Introduction of ZUC-128/256

Introduction of ZUC-128/256

Introduction of ZUC-128/256

Linear approximation: 1+2+2XGF (216)

Linear approximation: 1+2+2XGF (216)

Linear approximation: 1+2+2XGF (216)

Linear approximation: Deriving biased samples

Linear approximation: Deriving biased samples

Linear approximation: Deriving biased samples

Noise expressions and "Bit-slicing" technique

Noise expressions and "Bit-slicing" technique

Noise expressions and "Bit-slicing" technique

Problem 2: Searching for the linear masking matrix M

Problem 2: Searching for the linear masking matrix M

Problem 2: Searching for the linear masking matrix M

Spectral tools: Introduction

Spectral tools: Introduction

Spectral tools: Introduction

Spectral tools: Bias computation and precision problem

Spectral tools: Bias computation and precision problem

Spectral tools: Bias computation and precision problem

IACR

License

Spectral analysis of ZUC-256

Key moments

Spectral analysis of ZUC-256

Spectral analysis of ZUC-256

Spectral analysis of ZUC-256

Introduction of ZUC-128/256

Introduction of ZUC-128/256

Introduction of ZUC-128/256

Linear approximation: 1+2+2XGF (216)

Linear approximation: 1+2+2XGF (216)

Linear approximation: 1+2+2XGF (216)

Linear approximation: Deriving biased samples

Linear approximation: Deriving biased samples

Linear approximation: Deriving biased samples

Noise expressions and "Bit-slicing" technique

Noise expressions and "Bit-slicing" technique

Noise expressions and "Bit-slicing" technique

Problem 2: Searching for the linear masking matrix M

Problem 2: Searching for the linear masking matrix M

Problem 2: Searching for the linear masking matrix M

Spectral tools: Introduction

Spectral tools: Introduction

Spectral tools: Introduction

Spectral tools: Bias computation and precision problem

Spectral tools: Bias computation and precision problem

Spectral tools: Bias computation and precision problem

Spectral tools: Convolutions

Spectral tools: Convolutions

Spectral tools: Convolutions

Spectral tools: Linear masking (WHT case)

Spectral tools: Linear masking (WHT case)

Spectral tools: Linear masking (WHT case)

Spectral tools: Approximation of S-Boxes (Intro)

Spectral tools: Approximation of S-Boxes (Intro)

Spectral tools: Approximation of S-Boxes (Intro)

Spectral tools: Usual S-Boxes

Spectral tools: Usual S-Boxes

Spectral tools: Usual S-Boxes

Spectral tools: Composite S-Boxes

Spectral tools: Composite S-Boxes

Spectral tools: Composite S-Boxes

Spectral analysis of ZUC - the final step!

Spectral analysis of ZUC - the final step!

Spectral analysis of ZUC - the final step!

Description

Key moments View all

Spectral analysis of ZUC-256

Spectral analysis of ZUC-256

Spectral analysis of ZUC-256

Introduction of ZUC-128/256

Introduction of ZUC-128/256

Key moments

Key moments