Results 91 to 100 of about 258 (108)
Improved Conditional Cube Attacks on Keccak Keyed Modes with MILP Method [PDF]
Conditional cube attack is an efficient key-recovery attack on Keccak keyed modes proposed by Huang et al. at EUROCRYPT 2017. By assigning bit conditions, the diffusion of a conditional cube variable is reduced. Then, using a greedy algorithm (Algorithm 4 in Huang et al.’s paper), Huang et al.
Zheng Li 0008 +3 more
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Conditional Cube Attacks on Full Members of KNOT-AEAD Family
Lecture Notes in Computer Science, 2022Zejun Xiang +2 more
exaly +2 more sources
Conditional Cube Attack on Lightweight Sycon-AEAD-64
IEEE Internet of Things JournalHyejin Eom, Changhoon Lee
exaly +2 more sources
Conditional Cube Attacks on Ascon-128 and Ascon-80pq in a Nonce-misuse Setting. [PDF]
Ascon-128 and Ascon-80pq use 12-round Ascon permutation for initialization and finalization phases and 6-round Ascon permutation for processing associate data and message.
Donghoon Chang +2 more
openaire +2 more sources
Correlation Cube Attacks: From Weak-Key Distinguisher to Key Recovery [PDF]
In this paper, we describe a new variant of cube attacks called correlation cube attack. The new attack recovers the secret key of a cryptosystem by exploiting conditional correlation properties between the superpoly of a cube and a specific set of low ...
Meicheng Liu +2 more
exaly +2 more sources
MILP-aided cube-attack-like cryptanalysis on Keccak Keyed modes [PDF]
Cube-attack-like cryptanalysis was proposed by Dinur et al. at EUROCRYPT 2015, which recovers the key of Keccak keyed modes in a divide-and-conquer manner. In their attack, one selects cube variables manually, which leads to more key bits involved in the
Xiaoyang Dong +2 more
exaly +1 more source
Correlation Cube Attack Revisited
Lecture Notes in Computer Science, 2023Jianhua Wang, Lu Qin, Baofeng Wu
exaly
A New Correlation Cube Attack Based on Division Property
Lecture Notes in Computer Science, 2023exaly
g-Good-neighbor conditional diagnosability measures for 3-ary n-cube networks
Theoretical Computer Science, 2016Jun Yuan, Aixia Liu, Xiao Qin
exaly

