Standard

Comparative Analysis of Statistical Test based onData compression methods and standard tests for assessing Randomness of Random Number Generators. / Лулу, Йешевас Гетачеу .

в: Вестник Новосибирского государственного университета. Серия: Информационные технологии, Том 23, № 1, 3, 2025, стр. 33-45.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Лулу, ЙГ 2025, 'Comparative Analysis of Statistical Test based onData compression methods and standard tests for assessing Randomness of Random Number Generators', Вестник Новосибирского государственного университета. Серия: Информационные технологии, Том. 23, № 1, 3, стр. 33-45. https://doi.org/10.25205/1818-7900-2025-23-1-33-45

APA

Лулу, Й. Г. (2025). Comparative Analysis of Statistical Test based onData compression methods and standard tests for assessing Randomness of Random Number Generators. Вестник Новосибирского государственного университета. Серия: Информационные технологии, 23(1), 33-45. [3]. https://doi.org/10.25205/1818-7900-2025-23-1-33-45

Vancouver

Лулу ЙГ. Comparative Analysis of Statistical Test based onData compression methods and standard tests for assessing Randomness of Random Number Generators. Вестник Новосибирского государственного университета. Серия: Информационные технологии. 2025;23(1):33-45. 3. doi: 10.25205/1818-7900-2025-23-1-33-45

Author

Лулу, Йешевас Гетачеу . / Comparative Analysis of Statistical Test based onData compression methods and standard tests for assessing Randomness of Random Number Generators. в: Вестник Новосибирского государственного университета. Серия: Информационные технологии. 2025 ; Том 23, № 1. стр. 33-45.

BibTeX

@article{302a769dd72e4c76be534b4bd284109b,
title = "Comparative Analysis of Statistical Test based onData compression methods and standard tests for assessing Randomness of Random Number Generators",
abstract = "This paper presents a detailed comparative analysis of statistical tests utilizing both modern data compressors and standard statistical methods for assessing the randomness of Random number generators (RNG). Our study aims to thoroughly evaluate the efficiency and performance of these tests in determining the quality of RNG output sequences.Data compression techniques have long been recognized as effective statistical tests, with some being asymptotically optimal. We compare the effectiveness of these data compressor-based tests with traditional statistical tests in assessing the randomness properties of RNG.Our results demonstrate that the efficiency of data compressor tests and standard statistical tests is closely similar. Through rigorous experimentation and analysis, we show that both approaches yield comparable results in evaluating the randomness of RNG output sequences.",
keywords = "СТАТИСТИЧЕСКИЕ ТЕСТЫ СЖАТИЯ ДАННЫХ, ГЕНЕРАТОР СЛУЧАЙНЫХ ЧИСЕЛ, СТАТИСТИЧЕСКИЙ ТЕСТ НАЦИОНАЛЬНОГО ИНСТИТУТА СТАНДАРТОВ И ТЕХНОЛОГИЙ, ТЕСТ TESU01, DATA COMPRESSION STATISTICAL TESTS, RANDOM NUMBER GENERATOR, NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY STATISTICAL TEST, TESU01 TEST",
author = "Лулу, {Йешевас Гетачеу}",
note = "Lulu Y. G. Comparative Analysis of Statistical Test based on Data Compression Methods and Standard Tests for Assessing Randomness of Random Number Generators // Вестник Новосибирского государственного университета. Серия: Информационные технологии. – 2025. – Vol. 23. - No. 1. – P. 33-45.",
year = "2025",
doi = "10.25205/1818-7900-2025-23-1-33-45",
language = "English",
volume = "23",
pages = "33--45",
journal = "Вестник Новосибирского государственного университета. Серия: Информационные технологии",
issn = "1818-7900",
publisher = "ИПЦ НГУ",
number = "1",

}

RIS

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N1 - Lulu Y. G. Comparative Analysis of Statistical Test based on Data Compression Methods and Standard Tests for Assessing Randomness of Random Number Generators // Вестник Новосибирского государственного университета. Серия: Информационные технологии. – 2025. – Vol. 23. - No. 1. – P. 33-45.

PY - 2025

Y1 - 2025

N2 - This paper presents a detailed comparative analysis of statistical tests utilizing both modern data compressors and standard statistical methods for assessing the randomness of Random number generators (RNG). Our study aims to thoroughly evaluate the efficiency and performance of these tests in determining the quality of RNG output sequences.Data compression techniques have long been recognized as effective statistical tests, with some being asymptotically optimal. We compare the effectiveness of these data compressor-based tests with traditional statistical tests in assessing the randomness properties of RNG.Our results demonstrate that the efficiency of data compressor tests and standard statistical tests is closely similar. Through rigorous experimentation and analysis, we show that both approaches yield comparable results in evaluating the randomness of RNG output sequences.

AB - This paper presents a detailed comparative analysis of statistical tests utilizing both modern data compressors and standard statistical methods for assessing the randomness of Random number generators (RNG). Our study aims to thoroughly evaluate the efficiency and performance of these tests in determining the quality of RNG output sequences.Data compression techniques have long been recognized as effective statistical tests, with some being asymptotically optimal. We compare the effectiveness of these data compressor-based tests with traditional statistical tests in assessing the randomness properties of RNG.Our results demonstrate that the efficiency of data compressor tests and standard statistical tests is closely similar. Through rigorous experimentation and analysis, we show that both approaches yield comparable results in evaluating the randomness of RNG output sequences.

KW - СТАТИСТИЧЕСКИЕ ТЕСТЫ СЖАТИЯ ДАННЫХ

KW - ГЕНЕРАТОР СЛУЧАЙНЫХ ЧИСЕЛ

KW - СТАТИСТИЧЕСКИЙ ТЕСТ НАЦИОНАЛЬНОГО ИНСТИТУТА СТАНДАРТОВ И ТЕХНОЛОГИЙ

KW - ТЕСТ TESU01

KW - DATA COMPRESSION STATISTICAL TESTS

KW - RANDOM NUMBER GENERATOR

KW - NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY STATISTICAL TEST

KW - TESU01 TEST

UR - https://elibrary.ru/item.asp?id=82606119

U2 - 10.25205/1818-7900-2025-23-1-33-45

DO - 10.25205/1818-7900-2025-23-1-33-45

M3 - Article

VL - 23

SP - 33

EP - 45

JO - Вестник Новосибирского государственного университета. Серия: Информационные технологии

JF - Вестник Новосибирского государственного университета. Серия: Информационные технологии

SN - 1818-7900

IS - 1

M1 - 3

ER -

ID: 68640331