К содержанию
РецензированоEN2025

SECURE RANDOMNESS IN MODERN OPERATING SYSTEMS: AN ANALYSIS OF RNG ARCHITECTURES IN WINDOWS, LINUX, AND MACOS/IOS

Nuriddin Safoev (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)

Инновационные исследования в современном мире: теория и практика · 105-113 · 2025

Аннотация

Random number generation (RNG) plays a foundational role in security, cryptography, and system design. Operating systems today implement complex mechanisms for generating random numbers securely. This survey paper presents an overview of RNG techniques used in major operating systems, including Microsoft Windows, Linux, and macOS. We examine entropy sources, deterministic random bit generators (DRBGs), system APIs, and quality testing mechanisms. The survey highlights key differences between OS-level RNG designs and emphasizes best practices, challenges, and potential vulnerabilities. This work aims to serve as a reference for students, developers, and security professionals seeking a comparative understanding of secure randomness in computing environments.

Доказательный фрагмент

«Random number generation (RNG) plays a foundational role in security, cryptography, and system design.»

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Демо-превью

Random number generation (RNG) plays a foundational role in security, cryptography, and system design. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.

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Тип
Журнал
Страна
Узбекистан
Ключевые слова
Random Number Generation, Operating Systems, Entropy, DRBG, Cryptography, RNG APIs, Windows, Linux, macOS.
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