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Microsoft has documented the implementation of the Windows 10 random number generator in some detail, in a whitepaper published in 2019. [5] In Windows 10: There exists a hierarchy of random number generators. The kernel has a "Root" PRNG, from which all randomness is ultimately derived.
The design of an NPTRNG is traditional for TRNGs: a noise source is followed by a postprocessing randomness extractor and, optionally, with a pseudorandom number generator (PRNG) seeded by the true random bits. As of 2014, the Linux NPTRNG implementation extracted the entropy from: [8]
Cryptographically Secure Random number on Windows without using CryptoAPI; Conjectured Security of the ANSI-NIST Elliptic Curve RNG, Daniel R. L. Brown, IACR ePrint 2006/117. A Security Analysis of the NIST SP 800-90 Elliptic Curve Random Number Generator, Daniel R. L. Brown and Kristian Gjosteen, IACR ePrint 2007/048. To appear in CRYPTO 2007.
However, generally they are considerably slower (typically by a factor 2–10) than fast, non-cryptographic random number generators. These include: Stream ciphers. Popular choices are Salsa20 or ChaCha (often with the number of rounds reduced to 8 for speed), ISAAC, HC-128 and RC4. Block ciphers in counter mode.
Windows PowerShell provides access to a cryptographically secure pseudorandom number generator via the Get-SecureRandom cmdlet. [37] Cygwin on Windows provides implementations of both /dev/random and /dev/urandom, which can be used in scripts and programs. [38]
A true random number generator (TRNG) can be a (de)central service. One example of a centralized system where a random number can be acquired is the randomness beacon service from the National Institute of Standards and Technology. The Cardano platform uses the participants of their decentralized proof-of-stake protocol to generate random ...
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An astrophysical Monte Carlo simulator examined the time to generate 10 7 64-bit random numbers using RDRAND on a quad-core Intel i7-3740 QM processor. They found that a C implementation of RDRAND ran about 2× slower than the default random number generator in C, and about 20× slower than the Mersenne Twister.