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marc-b-reynolds.github.io | ||
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preshing.com
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| | | | | Suppose we wish to generate a sequence of 10000000 random 32-bit integers with no repeats. How can we do it? 422253117, 3056114362, 1677071617, 478652086, 2970049140, ... I faced ... | |
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www.johndcook.com
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| | | | | Example of a cryptographically secure random number generator with Python sample code | |
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blog.gistre.epita.fr
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| | | | | This article explores the world of random number generation in embedded systems, covering both pseudo-random number generators (PRNGs) and hardware-based random number generators (HRNGs). It explains their principles, provides examples of code, discusses their advantages and limitations, and highlights their applications in embedded systems. | |
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www.thomas-huehn.com
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| | | [AI summary] The article discusses the use of /dev/random and /dev/urandom in Linux systems for generating random numbers. It highlights that /dev/urandom is generally preferred over /dev/random due to its non-blocking nature and sufficient cryptographic security. The article also addresses misconceptions in the man pages and emphasizes that /dev/urandom is safe for most applications, including cryptographic uses, as long as the initial seeding is done properly. It mentions that while /dev/random is considered a legacy interface, it's not always necessary, and modern Linux distributions and syscalls like getrandom(2) provide better alternatives. | ||