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An effective genetic algorithm for finding highly nonlinear boolean functions

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-46885-4_53openalex-snapshot
Nonlinearity Criteria for Cryptographic Functions
inferredcites →https://doi.org/10.1007/bf00190799openalex-snapshot
Methods and instruments for designing S-boxes
inferredcites →https://doi.org/10.1080/0161-119391867746openalex-snapshot
USE OF A GENETIC ALGORITHM IN THE CRYPTANALYSIS OF SIMPLE SUBSTITUTION CIPHERS
inferredcites →https://doi.org/10.1080/0161-119391867863openalex-snapshot
THE USE OF GENETIC ALGORITHMS IN CRYPTANALYSIS
inferredcites →https://doi.org/10.1080/0161-119691884807openalex-snapshot
COMBINATORIAL OPTIMIZATION AND THE KNAPSACK CIPHER
inferredcites →https://doi.org/10.1109/tit.1983.1056679openalex-snapshot
The covering radius of the(2^{15}, 16)Reed-Muller code is at least 16276

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Two-Stage Optimisation in the Design of Boolean Functions
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Further Results on the Relation Between Nonlinearity and Resiliency for Boolean Functions
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Boolean Function Design Using Hill Climbing Methods
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Comparison of Genetic Programming Methods on Design of Cryptographic Boolean Functions
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Hyper-bent Boolean Functions and Evolutionary Algorithms
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Weightwise Perfectly Balanced Functions and Nonlinearity
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Discovering Rotation Symmetric Self-dual Bent Functions with Evolutionary Algorithms
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A Systematic Evaluation of Evolving Highly Nonlinear Boolean Functions in Odd Sizes
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Applications of Soft Computing in Cryptology
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Improved Cost Function in the Design of Boolean Functions Satisfying Multiple Criteria
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Non-linear Cryptanalysis Revisited: Heuristic Search for Approximations to S-Boxes
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Designing Stream Cipher Systems Using Genetic Programming
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Improvement in Non-linearity of Carlet-Feng Infinite Class of Boolean Functions
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Design of Boolean Functions Satisfying Multiple Criteria by NSGA-II
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Evolutionary Computation in computer security and cryptography
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Miniaturization of Insertable Cardiac Monitor: ECG Signal Processing Based on Stochastic Computing
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Semantic mutation operator for a fast and efficient design of bent Boolean functions
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A systematic study on the design of odd-sized highly nonlinear boolean functions via evolutionary algorithms
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A Note on Rotation Symmetric S-boxes
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An improved hybrid genetic algorithm to construct balanced Boolean function with optimal cryptographic properties
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A survey of metaheuristic algorithms for the design of cryptographic Boolean functions
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An evolutionary approach to construct cryptographically strong Boolean functions
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Pseudorandom number generators based on neural networks: a review
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Bent Functions with a Small Number of Variables
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