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Journals / Turkish Journal of Science and Technology / 2020 / Cilt: 15 - Sayı: 1

A Statistical Randomness Generation Algorithm Based on Nonlinear Behavior of Discrete Time Chaotic Systems

Erkan TANYILDIZI
Fatih ÖZKAYNAK
Pages
13–18
Publication Date
2020-03-03
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In addition, optimization algorithms to guarantee statistical properties of generator.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Statistical randomness is a critical requirement for many applications.
📊
Key Findings & Data:Generally, it is common to use a generator algorithm for statistical randomness.
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Conclusion & Impact:In addition, optimization algorithms to guarantee statistical properties of generator.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Randomness · chaos · optimization

Abstract

Statistical randomness is a critical requirement for many applications. Generally, it is common to use a generator algorithm for statistical randomness. In this study, a generator algorithm proposed benefiting from chaotic systems. This proposed approach is based on chaotic maps with a simpler mathematical model compared to other chaotic system classes. So the generator has high practical applicability. In addition, optimization algorithms to guarantee statistical properties of generator.

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Cite This Article

TANYILDIZI, E., ÖZKAYNAK, F. (2020). A Statistical Randomness Generation Algorithm Based on Nonlinear Behavior of Discrete Time Chaotic Systems. Turkish Journal of Science and Technology, Cilt: 15 - Sayı: 1, 13–18. https://ajindex.com/articles/809576

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