AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (513.2 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Improved collision detection of MD5 with additional sufficient conditions

Linan Fang1Ting Wu2Yongxing Qi2Yanzhao Shen3( )Peng Zhang4Mingmin Lin1Xinfeng Dong5
School of Cyberspace, Hangzhou Dianzi University, Hangzhou 310018, China
Hangzhou Innovation Institute, Beihang University, Hangzhou 310020, China
Shandong Institute of Blockchain, Jinan 250102, China
Hangzhou Hikvision Digital Technology Company Limited, Hangzhou 310051, China
Science and Technology on Communication Security Laboratory, Chengdu 610041, China
Show Author Information

Abstract

One application of counter-cryptanalysis is detecting whether a message block is involved in a collision attack, such as the detection of MD5 and SHA-1. Stevens and Shumow speeded up the detection of SHA-1 by introducing unavoidable conditions in message blocks. They left a challenge: how to determine unavoidable conditions for MD5. Later, Shen et al. found that the unavoidable conditions of MD5 were the sufficient conditions located in the last round of differential paths. In this paper, we made further work. We discover sufficient conditions in the second round that can also be used as unavoidable conditions. With additional sufficient conditions, we subdivide three sets and distinguish seven more classes. As a result, compared with Shen's collision detection algorithm, our improved algorithm reduces the collision detection cost by 8.18%. Finally, we find that they do exist in the differential paths constructed by the automatic tool "HashClash".

References

【1】
【1】
 
 
Electronic Research Archive
Pages 2018-2032

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Fang L, Wu T, Qi Y, et al. Improved collision detection of MD5 with additional sufficient conditions. Electronic Research Archive, 2022, 30(6): 2018-2032. https://doi.org/10.3934/era.2022102

0

Views

0

Downloads

0

Crossref

0

Web of Science

2

Scopus

Received: 04 March 2022
Revised: 25 March 2022
Accepted: 05 April 2022
Published: 15 June 2022
©2022 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)