Nonlinearity criteria for cryptographic functions
EUROCRYPT '89 Proceedings of the workshop on the theory and application of cryptographic techniques on Advances in cryptology
Linear cryptanalysis method for DES cipher
EUROCRYPT '93 Workshop on the theory and application of cryptographic techniques on Advances in cryptology
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Two-Stage Optimisation in the Design of Boolean Functions
ACISP '00 Proceedings of the 5th Australasian Conference on Information Security and Privacy
An effective genetic algorithm for finding highly nonlinear Boolean Functions
ICICS '97 Proceedings of the First International Conference on Information and Communication Security
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation)
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
Further constructions of resilient Boolean functions with very high nonlinearity
IEEE Transactions on Information Theory
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The proliferation of all kinds of devices with different security requirements and constraints, and the arms-race nature of the security problem are increasingly demanding the development of tools to help on the automatic design of Boolean functions with security application. Nowadays, the design of strong cryptographic Boolean functions is a multiobjective problem. However, so far evolutionary multiobjective algorithms have been largely overlooked and not much is known about this problem from a multiobjective optimization perspective. In this work we focus on non-linearity related criteria and explore a multiobjective evolutionary approach aiming to find several balanced functions of similar characteristics satisfying multiple criteria. We show that the multiobjective approach is an efficient alternative to single objective optimization approaches presented so far. We also argue that it is a better framework for automatic design of cryptographic Boolean functions.