Efficient collision attacks on smart card implementations of masked AES

被引：0

作者：

WANG An ^{[1
]}

WANG ZongYue ^{[2
]}

ZHENG XueXin ^{[2
,3
]}

WANG XiaoMei ^{[4
]}

CHEN Man ^{[2
,5
]}

ZHANG GuoShuang ^{[6
]}

WU LiJi ^{[1
]}

机构：

[1] Institute of Microelectronics, Tsinghua University

[2] Key Laboratory of Cryptologic Technology and Information Security, Ministry of Education,Shandong University

[3] China Academy of Electronics and Information Technology

[4] School of Computer and Communication Engineering, University of Science and Technology,Beijing

[5] Science and Technology on Communication Security Laboratory

来源：

ScienceChina(InformationSciences) | 2015年 / 58卷 / 05期

基金：

中国国家自然科学基金;

关键词：

power analysis attack; collision attack; least absolute deviation; least square method; masking;

D O I：

暂无

中图分类号：

TN918.4 [密码的加密与解密];

学科分类号：

0839 ; 1402 ;

摘要：

Collision attack is often employed against some cryptographic algorithms such as AES and DES.As a usual countermeasure, masking can resist such attacks to some extent. In CHES 2011, Clavier et al.proposed a collision-correlation attack based on Pearson correlation coefficient against masking. In this paper, a collision distinguisher based on least absolute deviation against masking is proposed. Subsequently, we suggest three other distinguishers based on least square method, least exponent method, and central moment product,respectively. Our experiments and simulations show that in practice, our distinguishers based on least absolute deviation and least square method perform much better than collision-correlation attack and other proposed distinguishers in this paper. We also give four application examples, which show that even if the masks are not reused, new distinguishers are competent to collision attacks.

引用

页码：97 / 111

页数：15