Article detail · 2017
Pseudo random number generator based on Arnold cat map and statistical analysis
- Year
- 2017
- External link
- https://dx.doi.org/DOI: 10.3906/elk-1507-253
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue Turkish Journal of Electrical Engineering and Computer Sciences
- Catalog match (ISSN) Turkish Journal of Electrical Engineering and Computer Sciences
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
OpenAlex · English
Pseudorandom number generators (PRNGs) generate random bit streams based on deterministic algorithms. Any bit stream generated with a PRNG will repeat itself at a certain point, and the bit streams will become correlated. As a result, all bit streams generated in this manner are statistically weak. Such weakness leads to a strong connection between PRNGs and chaos, which is characterized by ergodicity, confusion, complexity, sensitivity to initial conditions, and dependence on control parameters. In this study, we introduce a PRNG that generates bit sequences by sampling two Arnold cat map outputs. The statistical randomness of bit streams obtained using this PRNG was verified by statistical analyses such as the NIST test suite, the scale index method, statistical complexity measures, and autocorrelation. The generated bit streams successfully passed all the analytical tests and can be safely used for the many applications of randomness.
Topics
Citations
OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.
42 citations
OpenAlex cited_by_count (cache / database)
18 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
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- A Novel 3D Chaotic System With Line Equilibrium: Multistability, Integral Sliding Mode Control, Electronic Circuit, FPGA Implementation and Its Image Encryption 2022
- A novel secure chaos-based pseudo random number generator based on ANN-based chaotic and ring oscillator: design and its FPGA implementation 2020
- A Novel Simple 4-D Hyperchaotic System with a Saddle-Point Index-2 Equilibrium Point and Multistability: Design and FPGA-Based Applications 2020
- A novel True Random Bit Generator design for image encryption 2020
- Secure and Efficient Hybrid Random Number Generator Based on Sponge Constructions for Cryptographic Applications 2019
- Self-generated encryption model of acoustics 2020
- Control, synchronization with linear quadratic regulator method and FFANN-based PRNG application on FPGA of a novel chaotic system 2021
- Control, synchronization with linear quadratic regulator method and FFANN-based PRNG application on FPGA of a novel chaotic system 2021
- A novel dissipative and conservative megastable oscillator with engineering applications 2020