Наука и технология в современном миреМирзаева Ширин Нодировна, Тахиров Чингиз Аъзамович +22026
Random Number Generation in Operating Systems
PAGE NO. - · Karimov Madjit Malikovich · of Uzbekistan · Komil Tashev · Nuriddin Safoev (Department of Cryptology, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent,) · Tashmatova Shaxnoza Sabirovna (Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan) · Qurbonova Kabira Erkinovna (Tashkent State Technical University named after Islam Karimov, Tashkent, Uzbekistan) · Fayziraxmonov Boburjon Baxtiyorjon o‘g‘li (Tashkent State Technical University named after Islam Karimov, Tashkent, Uzbekistan)
American Journal Of Applied Science And Technology · 05 · 800-90 · 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. Keywords: Random Number Generation, Operating Systems, Entropy, DRBG, Cryptography, RNG APIs, Windows, Linux, macOS.
Доказательный фрагмент
«Random number generation (RNG) plays a foundational role in security, cryptography, and system design.»
Образец извлечения
Демо-превьюRandom 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
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- Узбекистан
- Ключевые слова
- Random Number Generation, Operating Systems, Entropy, DRBG, Cryptography, RNG APIs, Windows, simulations., pseudo-random number generation
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