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Journal of the Royal Statistical Society. Series A (General), 1967
John M. Chambers, Birger Jansson
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John M. Chambers, Birger Jansson
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2016
One of the possible applications of chaotic oscillators is generating sequences of pseudorandom binary numbers. This chapter describes a methodology for generating such pseudorandom binary numbers from the logistic map, Lorenz and Rossler chaotic systems, Chua and chaotic oscillator based on saturated function series. A form to measure if a sequence of
Esteban Tlelo-Cuautle +2 more
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One of the possible applications of chaotic oscillators is generating sequences of pseudorandom binary numbers. This chapter describes a methodology for generating such pseudorandom binary numbers from the logistic map, Lorenz and Rossler chaotic systems, Chua and chaotic oscillator based on saturated function series. A form to measure if a sequence of
Esteban Tlelo-Cuautle +2 more
openaire +1 more source
2012
The integrity of computer simulation models is only as good as the reliability of the random number generator that produces the stream of random numbers one after the other. The chapter describes the difficult task of developing an algorithm to generate random numbers that are statistically valid and have a large cycle length.
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The integrity of computer simulation models is only as good as the reliability of the random number generator that produces the stream of random numbers one after the other. The chapter describes the difficult task of developing an algorithm to generate random numbers that are statistically valid and have a large cycle length.
openaire +1 more source
2020
Random number generators are a critical component of crypto systems. They are used to generate symmetric keys, to provide initialization vectors, and for other purposes. However, it is critical to utilize a random number generator algorithm that is sufficiently random for cryptographic purposes.
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Random number generators are a critical component of crypto systems. They are used to generate symmetric keys, to provide initialization vectors, and for other purposes. However, it is critical to utilize a random number generator algorithm that is sufficiently random for cryptographic purposes.
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A search for good pseudo-random number generators: Survey and empirical studies
Computer Science Review, 2022Kamalika Bhattacharjee, Sukanta Das
exaly