“…Another class of algebraic dynamical systems which can be useful for designing good pseudorandom number generators is the class of polynomial systems such that their iterations have certain sparsity with respect to some variables (and with strictly positive algebraic entropy). For example, such are the polynomial systems constructed in [15], for which we have F…”
Section: It Is Certainly Natural To Expect That the Degrees Of The Itmentioning
confidence: 99%
“…We recall the following result given in [15,Lemma 4], which can easily be shown by induction on k: where, for i = 1, . .…”
Section: Multivariate Generalisations Of the Power Generatormentioning
confidence: 99%
“…We note that the method of [15,Theorem 2], which works for m = 1, does not seem to apply to the more general systems (19) with m ≥ 2. Hence, the proof of [15,Theorem 8], that applies to the systems (16) is based on different arguments.…”
Section: Multivariate Generalisations Of the Power Generatormentioning
confidence: 99%
“…Hence, the proof of [15,Theorem 8], that applies to the systems (16) is based on different arguments. This same approach also works for the more general systems (19).…”
Section: Multivariate Generalisations Of the Power Generatormentioning
confidence: 99%
“…. , e m , compared to that used in the proof of [15,Theorem 8], but typically leads to stronger bounds.…”
Section: Multivariate Generalisations Of the Power Generatormentioning
Abstract. We present several general results that show how algebraic dynamical systems with a slow degree growth and also rational automorphisms can be used to construct stronger pseudorandom number generators. We then give several concrete constructions that illustrate the applicability of these general results.
“…Another class of algebraic dynamical systems which can be useful for designing good pseudorandom number generators is the class of polynomial systems such that their iterations have certain sparsity with respect to some variables (and with strictly positive algebraic entropy). For example, such are the polynomial systems constructed in [15], for which we have F…”
Section: It Is Certainly Natural To Expect That the Degrees Of The Itmentioning
confidence: 99%
“…We recall the following result given in [15,Lemma 4], which can easily be shown by induction on k: where, for i = 1, . .…”
Section: Multivariate Generalisations Of the Power Generatormentioning
confidence: 99%
“…We note that the method of [15,Theorem 2], which works for m = 1, does not seem to apply to the more general systems (19) with m ≥ 2. Hence, the proof of [15,Theorem 8], that applies to the systems (16) is based on different arguments.…”
Section: Multivariate Generalisations Of the Power Generatormentioning
confidence: 99%
“…Hence, the proof of [15,Theorem 8], that applies to the systems (16) is based on different arguments. This same approach also works for the more general systems (19).…”
Section: Multivariate Generalisations Of the Power Generatormentioning
confidence: 99%
“…. , e m , compared to that used in the proof of [15,Theorem 8], but typically leads to stronger bounds.…”
Section: Multivariate Generalisations Of the Power Generatormentioning
Abstract. We present several general results that show how algebraic dynamical systems with a slow degree growth and also rational automorphisms can be used to construct stronger pseudorandom number generators. We then give several concrete constructions that illustrate the applicability of these general results.
We study common composites of triangular polynomial and rational function systems with favorable effects under composition: polynomial degree growth. We construct classes of such systems that do not have common composites. This property makes them suitable for the construction of a recently proposed hash function. We give estimates for the number of collisions of this hash function using these systems. We also mention as future work the study of common composites of systems with sparse representation and pose an open problem related to their usability as hash functions.
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