Research on deep differential fault analysis against MIBS

ZHAO Xin-jie1; WANG Tao 1; WANG Su-zhen2; WU Yang1

您当前的位置：

首页 >

文章列表页 >

Research on deep differential fault analysis against MIBS

更新时间：2024-10-14

- Research on deep differential fault analysis against MIBS
- Vol. 31, Issue 12, Pages: 82-89(2010)
- 作者机构：
  
  1. 军械工程学院计算机工程系
  2. 河北经贸大学经济管理学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN918.1
- Published：2010
- 稿件说明：
移动端阅览
ZHAO Xin-jie1, WANG Tao 1, WANG Su-zhen2, et al. Research on deep differential fault analysis against MIBS[J]. 2010, 31(12): 82-89.
DOI：

ZHAO Xin-jie1, WANG Tao 1, WANG Su-zhen2, et al. Research on deep differential fault analysis against MIBS[J]. 2010, 31(12): 82-89. DOI：

摘要

给出了MIBS算法及故障分析原理

基于不同深度的故障模型

提出了3种针对MIBS差分故障分析方法

并进行实验验证。实验结果表明

由于其Feistel结构和S盒差分特性

MIBS易遭受深度差分故障攻击

最好的结果为在第30轮左寄存器导入1次4bit故障

故障位置和故障差分值未知

可将64bit主密钥搜索空间降低到224

经1min暴力破解恢复完整主密钥。此外

该故障分析方法也可为其他使用S盒的分组密码差分故障分析提供一定思路。

Abstract

The MIBS algorithm and its differential fault analysis principle were presented

then three differential fault analysis methods against MIBS were proposed based on different depth of fault model and verified through experiments.Experiment results demonstrate that due to its Feistel structure and S-box differential feature

MIBS is vulnerable to deep differential fault attack.The best result is that after injecting one 4-bit fault into the 30th round left register

both the fault location and fault differential are unknown

the 64-bit MIBS master key searching space can be reduced to 224 and be re-covered after one minute brute-force-search.Moreover

the fault analysis method can provide some ideas on differential fault analysis against other block ciphers using S-box.

关键词

Keywords

references

Views

768

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Differential fault attack on lightweight block cipher Klein

Multi-feature fusion and progressive learning-based differential distinguisher for SM4 cipher algorithm

Novel distinguisher for SM4 cipher algorithm based on deep learning

SAT-based differential automatic search algorithm using divide-and-conquer strategy and its applications

Fast algorithm to search for the minimum number of active S-boxes of block cipher

Related Author

Shi-yi ZHANG

Quan-yu2 REN

Yong-juan WANG

ZHANG Zhe

WANG Huijiao

Xin ZHANG

Huijiao WANG

Yongzhuang WEI

Related Institution

PLA 78007 Troops

Department of Language Engineering,Luoyang Foreign Language College

School of Computer Science and Information Security, Guilin University of Electronic Technology

Department of Cryptogram Engineering, Information Engineering University

State Key Laboratory of Cryptology

AI问答

⁰