2014
DOI: 10.1007/978-3-319-12087-4_3
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Automatic Security Evaluation of Block Ciphers with S-bP Structures Against Related-Key Differential Attacks

Abstract: Abstract. Counting the number of active S-boxes is a common way to evaluate the security of symmetric key cryptographic schemes against differential attack. Based on Mixed Integer Linear Programming (MILP), Mouha et al proposed a method to accomplish this task automatically for word-oriented symmetric-key ciphers with SPN structures. However, this method can not be applied directly to block ciphers of SPN structures with bitwise permutation diffusion layers (S-bP structures), due to its ignorance of the diffus… Show more

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Cited by 34 publications
(23 citation statements)
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“…The goal is to find the optimal value that minimizes/maximizes the objective function satisfying all of the inequality constraints. This was introduced in [13,14] and improved in [15][16][17][18].…”
Section: Search For Related-tweakey Impossible Distinguisher With Milmentioning
confidence: 99%
“…The goal is to find the optimal value that minimizes/maximizes the objective function satisfying all of the inequality constraints. This was introduced in [13,14] and improved in [15][16][17][18].…”
Section: Search For Related-tweakey Impossible Distinguisher With Milmentioning
confidence: 99%
“…In this section, we introduce the MILP based methods proposed by Mouha et al [12] and Sun et al [13,14,17]. The mixed integer linear programming (MILP) problem is an optimization problem derived from linear programming with some or all variables restricted over integers.…”
Section: Description Of the Extended Milpmentioning
confidence: 99%
“…Further, by the method proposed in [14,17], the solution of an MILP instance must correspond to a specific related-key differential characteristic and is the exact lower bound of the number of active S-boxes. We refer the readers to [12,13,14,17] for more information on an MILP problem and linear constraints describing several operations over finite fields with characteristic 2.…”
Section: Description Of the Extended Milpmentioning
confidence: 99%
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