Generators with the Given Distribution Law

Pseudo-random number generators (PRNG) play an important role in the tasks of information security. Reliability and safety of information collection, processing, storage and transfer in computer systems and networks depend on PRNG's properties. As a rule, the distribution of symbols in the sequ...

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Veröffentlicht in:IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference S. 198 - 201
Hauptverfasser: Chugunkov, Ilya V., Riakhovskaia, Iuliia S., Matriukhina, Ekaterina A., Ivanov, Michael A., Chugunkov, Vladimir I.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.01.2019
Schlagworte:
Adders
Combinational circuits
Computer security
Cryptography
Generators
Hardware
Histograms
normal distibution
pseudo-randon number generators
statistical testing
symbol distribution histogram
uniform distribution
ISSN:2376-6565
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Zusammenfassung:Pseudo-random number generators (PRNG) play an important role in the tasks of information security. Reliability and safety of information collection, processing, storage and transfer in computer systems and networks depend on PRNG's properties. As a rule, the distribution of symbols in the sequences created by generators submits to the uniform distribution law. But in some cases it is necessary that the generator created the sequences with the distribution law other than uniform. This article proposes an approach to the construction of such generators based on PRNG's. The schemes for constructing generators with a distribution law that is non-uniform are provided. At last, recommendations for estimating the properties of generators with a given distribution law are produced.
ISSN:2376-6565
DOI:10.1109/EIConRus.2019.8656831