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Detection and Location of Multi-Period Phenomena in Chaotic Binary Sequences.
Fan, Chunlei; Ding, Qun.
Afiliación
  • Fan C; Electrical Engineering College, Heilongjiang University, Harbin 150080, China.
  • Ding Q; Electrical Engineering College, Heilongjiang University, Harbin 150080, China.
Entropy (Basel) ; 24(3)2022 Feb 25.
Article en En | MEDLINE | ID: mdl-35327842
ABSTRACT
Due to the influence of finite calculation accuracy and binary quantization method, the performance of chaotic binary sequences has been degraded in varying degrees, and some sequences emerge as multi-period phenomena. Aiming at the problem that it is difficult to accurately detect this phenomenon, this paper proposes a multi-period positioning algorithm (MPPA), which can accurately detect and locate the accurate period and local period phenomena contained in chaotic binary sequences. In order to test the effectiveness and correctness of the algorithm, the multi-period characteristics of logistic binary sequences with different calculation accuracy are analyzed. MPPA evaluates the randomness of binary sequences from a new perspective, which provides a new idea for the analysis of cryptographic security of chaotic sequences.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Entropy (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Entropy (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China