Performance analysis of zigzag map and hash function to generate random number

Magfirawaty,; Suryadi, M. T.; Ramli, Kalamullah

doi:10.1109/iceltics.2017.8253286

Cited by 2 publications

(1 citation statement)

References 13 publications

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“…Łoza, et al generate random numbers using the RO and Sha-256 algorithms and proves that they are robust [15]. Magfirawaty and his colleagues generates random numbers using chaotic structures and the hash function, and, once more, these are statistically verified [16]. Wang and Li generate random numbers using an approach based on RO and XOR operations, and demonstrates successful results from statistical tests [17].…”

Section: R4mentioning

confidence: 99%

Secure and Efficient Hybrid Random Number Generator Based on Sponge Constructions for Cryptographic Applications

Yakut¹,

Tuncer²,

Özer³

2019

ELEKTRON ELEKTROTECH

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Random numbers constitute the most important part of many applications and have a vital importance in the security of these applications, especially in cryptography. Therefore, there is a need for secure random numbers to provide their security. This study is concerned with the development of a secure and efficient random number generator that is primarily intended for cryptographic applications. The generator consists of two subsystems. The first is algorithmic structure, Keccak, which is the latest standard for hash functions. The structure provides to generate secure random numbers. The second is additional input that generates with ring oscillators that are implemented on the FPGA. The additional inputs prevent reproduction and prediction of the subsequent random numbers. It is shown that the proposed generator is satisfies security requirements for cryptographic applications. In addition, NIST 800-22 test suite and autocorrelation test are used to demonstrate that generated random numbers have no statistical weaknesses and relationship among itself, respectively. Successful results from these tests show that generated numbers have no statistical weaknesses. Moreover, important advantage of the proposed generator is that it is more efficient than existing RNGs in the literature.

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Section: R4mentioning

confidence: 99%

Secure and Efficient Hybrid Random Number Generator Based on Sponge Constructions for Cryptographic Applications

Yakut¹,

Tuncer²,

Özer³

2019

ELEKTRON ELEKTROTECH

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A Novel Discrete-Time Chaos-Function-Based Random-Number Generator: Design and Variability Analysis

et al. 2022

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This paper presents a novel discrete-time (DT) chaotic map-based random-number generator (RNG), namely the Siponi map, which is a modification of the Logistic map. The Logistic map is usually applied to cryptosystems, mainly for the purposes of generating random numbers. In addition to being easy to implement, it has a better security level than other nonlinear functions. However, it can only process positive real-number inputs. Our proposed map is a deterministic function that can process positive and negative real values. We explored the map comprehensively and investigated its characteristics and parameters. We calculated the optimum parameter values using empirical and theoretical mathematical models to yield the maximum randomness of a sequence of bits. The limit variation of the maximum parameter value was determined based on a practical information measure. Empirical verification was performed for the Siponi map to generate bit sequences unrelated to the previous bit with high entropy values, and we found the extractor function threshold value to be 0.5, while the parameter control was −2 or 2. Using our proposed map, a simple RNG without post-processing passed DieHard statistical tests and all the tests on the NIST SP 800-22. Finally, we have implemented a Siponi map-based RNG on the FPGA board and demonstrated that the sources used are LUT = 4086, DSP = 62, and register = 2206.

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Performance analysis of zigzag map and hash function to generate random number

Cited by 2 publications

References 13 publications

Secure and Efficient Hybrid Random Number Generator Based on Sponge Constructions for Cryptographic Applications

Secure and Efficient Hybrid Random Number Generator Based on Sponge Constructions for Cryptographic Applications

A Novel Discrete-Time Chaos-Function-Based Random-Number Generator: Design and Variability Analysis

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