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Improved Division Property Based Cube Attacks Exploiting Algebraic Properties of Superpoly

Authors: Chaoyun Li; Willi Meier; Takanori Isobe; Qingju Wang; Qingju Wang; Qingju Wang; Yosuke Todo; +1 Authors

Improved Division Property Based Cube Attacks Exploiting Algebraic Properties of Superpoly

Abstract

The cube attack is an important technique for the cryptanalysis of symmetric key primitives, especially for stream ciphers. Aiming at recovering some secret key bits, the adversary reconstructs a superpoly with the secret key bits involved, by summing over a set of the plaintexts/IV which is called a cube. Traditional cube attack only exploits linear/quadratic superpolies. Moreover, for a long time after its proposal, the size of the cubes has been largely confined to an experimental range, e.g., typically 40. These limits were first overcome by the division property based cube attacks proposed by Todo et al. at CRYPTO 2017. Based on MILP modelled division property, for a cube (index set) I, they identify the small (index) subset J of the secret key bits involved in the resultant superpoly. During the precomputation phase which dominates the complexity of the cube attacks, \(2^{|I|+|J|}\) encryptions are required to recover the superpoly. Therefore, their attacks can only be available when the restriction \(|I|+|J|

Keywords

Technology, KEY RECOVERY, Clique, Trivium, cube attack, Computer Science, Theory & Methods, Division property, TRIVIUM, Cube attack, Division Property, Grain-128a, MILP, : Computer science [C05] [Engineering, computing & technology], ACORN, Science & Technology, Kreyvium, : Sciences informatiques [C05] [Ingénierie, informatique & technologie], Computer Science, Software Engineering, stream cipher, Acorn, Computer Science, division property

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citations
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).
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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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