CHAOSA: Chaotic map based random number generator on Arduino platform

Stoyanov, B.; Ivanova, Tsvetelina

doi:10.1063/1.5133578

Cited by 17 publications

(11 citation statements)

References 21 publications

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“…For a random number generator, the correlation coefficient between its subsections ideally should be zero but for all practical reasons, it should be as low as possible. There was a wide range of correlation coefficients reported in literature highest being 0.0857 by Tang et al [ 49 ] and the lowest being 0.00006 by Stoyanov et al [ 20 ]. Though there is a difference of three orders of magnitude between the highest reported correlation coefficient and the lowest one.…”

Section: Discussionmentioning

confidence: 99%

“…3 Two-dimensional X-Y plots of different chaotic maps. a It is observed that the Ikeda chaotic map [ 20 ] has opposite characteristics as compared to the Hitzl-Zele and Henon chaotic maps. The Ikeda chaotic map has a half semicircular pattern that is dominant on the left side of the X-Y plot.…”

Section: Chaotic Mapsmentioning

confidence: 99%

“…Figure 3 shows the X-Y plots of different two-dimensional chaotic maps. Figure 3 a shows the X-Y plot of the Ikeda chaotic map as obtained by Stoyanov et al [ 20 ]. When compared to the Hitzl-Zele and Henon chaotic maps, the Ikeda chaotic map has the opposite properties.…”

Section: Chaotic Mapsmentioning

confidence: 99%

“…Stoyanov et al [ 20 ] have shown an implementation of a chaotic map-based pseudo-random number generator on an Arduino platform. They called this system CHAOSA.…”

Section: Chaotic Mapsmentioning

confidence: 99%

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A Review on Applications of Chaotic Maps in Pseudo-Random Number Generators and Encryption

Naik

Singh

2022

Ann. Data. Sci.

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Because of the COVID-19 pandemic, most of the tasks have shifted to an online platform. Sectors such as e-commerce, sensitive multi-media transfer, online banking have skyrocketed. Because of this, there is an urgent need to develop highly secure algorithms which can not be hacked into by unauthorized users. The method which is the backbone for building encryption algorithms is the pseudo-random number generator based on chaotic maps. Chaotic maps are mathematical functions that generate a highly arbitrary pattern based on the initial seed value. This manuscript gives a summary of how the chaotic maps are used to generate pseudo-random numbers and perform multimedia encryption. After carefully analyzing all the recent literature, we found that the lowest correlation coefficient was 0.00006, which was achieved by Ikeda chaotic map. The highest entropy was 7.999995 bits per byte using the quantum chaotic map. The lowest execution time observed was 0.23 seconds with the Zaslavsky chaotic map and the highest data rate was 15.367 Mbits per second using a hyperchaotic map. Chaotic map-based pseudo-random number generation can be utilized in multi-media encryption, video-game animations, digital marketing, chaotic system simulation, chaotic missile systems, and other applications.

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Section: Discussionmentioning

confidence: 99%

Section: Chaotic Mapsmentioning

confidence: 99%

Section: Chaotic Mapsmentioning

confidence: 99%

“…Stoyanov et al [ 20 ] have shown an implementation of a chaotic map-based pseudo-random number generator on an Arduino platform. They called this system CHAOSA.…”

Section: Chaotic Mapsmentioning

confidence: 99%

See 2 more Smart Citations

A Review on Applications of Chaotic Maps in Pseudo-Random Number Generators and Encryption

Naik

Singh

2022

Ann. Data. Sci.

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“…The other conversion function is the mode function. It has been shown in various studies that the mode function has various advantages, since it is a one-way function which guarantees various statistical properties [35][36][37]. Due to these advantages, in the proposed method, the mode function has been used to transform the chaotic entropy source into s-box structures.…”

Section: Chaos-based S-box Structuresmentioning

confidence: 99%

A Novel Method for Performance Improvement of Chaos-Based Substitution Boxes

Artuğer

Özkaynak

2020

Symmetry

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Symmetry plays an important role in nonlinear system theory. In particular, it offers several methods by which to understand and model the chaotic behavior of mathematical, physical and biological systems. This study examines chaotic behavior in the field of information security. A novel method is proposed to improve the performance of chaos-based substitution box structures. Substitution box structures have a special role in block cipher algorithms, since they are the only nonlinear components in substitution permutation network architectures. However, the substitution box structures used in modern block encryption algorithms contain various vulnerabilities to side-channel attacks. Recent studies have shown that chaos-based designs can offer a variety of opportunities to prevent side-channel attacks. However, the problem of chaos-based designs is that substitution box performance criteria are worse than designs based on mathematical transformation. In this study, a postprocessing algorithm is proposed to improve the performance of chaos-based designs. The analysis results show that the proposed method can improve the performance criteria. The importance of these results is that chaos-based designs may offer opportunities for other practical applications in addition to the prevention of side-channel attacks.

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