Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ IACR Communications ...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
IACR Communications in Cryptology
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
DBLP
Article . 2025
Data sources: DBLP
DBLP
Article . 2025
Data sources: DBLP
versions View all 3 versions
addClaim

A Holistic Framework for Impossible Boomerang Attacks

Authors: Yincen Chen; Qinggan Fu; Ning Zhao; Jiahao Zhao; Ling Song 0001; Qianqian Yang 0003;

A Holistic Framework for Impossible Boomerang Attacks

Abstract

In 2011, Lu introduced the impossible boomerang attack at DCC. This powerful cryptanalysis technique combines the strengths of the impossible differential and boomerang attacks, thereby inheriting the advantages of both cryptographic techniques. In this paper, we propose a holistic framework comprising two generic and effective algorithms and a MILP-based model to search for the optimal impossible boomerang attack systematically. The first algorithm incorporates any key guessing strategy, while the second integrates the meet-in-the-middle (MITM) attack into the key recovery process. The MILP-based model combines the generic key recovery algorithms and supports the arbitrary location of the contradiction. Our highly flexible framework treats the distinguisher and the extended part as a whole, returning the optimal attack parameters and complexity. When applying our framework to Deoxys-BC-256, Deoxys-BC-384, Joltik-BC-128, Joltik-BC-192, and SKINNYe v2, we achieve several significant improvements. We achieve the first 11-round impossible boomerang attacks on Deoxys-BC-256 and Joltik-BC-128. For SKINNYe v2, we achieve the first 33-round impossible boomerang attack, then using the MITM approach in the key recovery attack, the time complexity is significantly reduced. Additionally, for the 14-round Deoxys-BC-384 and Joltik-BC-192, the time complexity of the impossible boomerang attack is reduced by factors exceeding 2 27 and 2 12 , respectively.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold