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Random Number Generators Survey

Authors: Asia Othman Aljahdali;

Random Number Generators Survey

Abstract

Abstract—The use of random numbers is essential in randomized algorithms, and many statistical methods are using them on random sampling, this is due to the fact that examining all the possible cases is unpractical. Nowadays, the most common used of random numbers is in simulation studies of stochastic processes. In fact, the security of many cryptographic systems relies on the generating of random numbers. However, cryptographic applications require random numbers with different criteria than those used in simulation. This study investigates pseudo-random numbers PRN, Quasi-random numbers QRN, and cryptographic random numbers CRN. The survey goal is to cover several random number generators and examining their statistic proprietaries using several testing algorithms. Index Terms—Pseudo-random numbers PRN, Quasi-random numbers QRN, Pseudo-random number generators PRNG

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Keywords

computer science, Cyber security, Information Technology, IJCSIS

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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