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РецензированоEN2025

UNDERSTANDING RANDOMNESS IN COMPUTING: TRUE AND PSEUDO-RANDOM NUMBER GENERATORS

Nuriddin Safoev (Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan) · Sirojiddin Salimov (Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan) · Nafisa Yuldasheva (Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan) · Ma’mur Murodov (Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan) · Boburjon Fayziraxmonov (Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan)

Наука и инновация · 129-135 · 2025

Аннотация

Random number generation is a critical building block in computer science, underpinning applications in cryptography, simulations, secure communications, and statistical modeling. This paper presents a comprehensive overview of both true random number generators (TRNGs) and pseudo-random number generators (PRNGs)—two fundamentally different approaches to generating randomness. TRNGs rely on inherently unpredictable physical processes, such as thermal noise, radioactive decay, or quantum phenomena, to produce non-deterministic output. In contrast, PRNGs employ algorithmic methods that, while deterministic and reproducible, aim to simulate randomness from an initial seed value.

Доказательный фрагмент

«Random number generation is a critical building block in computer science, underpinning applications in cryptography, simulations, secure communications, and statistical modeling.»

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Демо-превью

Random number generation is a critical building block in computer science, underpinning applications in cryptography, simulations, secure communications, and statistical modeling. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.

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Тип
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Страна
Узбекистан
Ключевые слова
Random number generation, pseudo-random number generation, entropy, cryptography, simulations.
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