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A pseudorandom number generator (PRNG) is an algorithm that produces a sequence of numbers that resemble random numbers, but are completely determined by an initial value. Learn about the properties, applications, and potential issues of PRNGs, as well as the difference between PRNGs and cryptographically secure PRNGs (CSPRNGs).
A CSPRNG is a PRNG with properties that make it suitable for use in cryptography. It can stretch the available entropy over more bits and resist state compromise attacks. Learn about its background, definitions and designs based on cryptographic primitives or mathematical problems.
These approaches combine a pseudo-random number generator (often in the form of a block or stream cipher) with an external source of randomness (e.g., mouse movements, delay between keyboard presses etc.). /dev/random – Unix-like systems; CryptGenRandom – Microsoft Windows; Fortuna; RDRAND instructions (called Intel Secure Key by Intel ...
The CLCG provides an efficient way to calculate pseudo-random numbers. The LCG algorithm is computationally inexpensive to use. [3] The results of multiple LCG algorithms are combined through the CLCG algorithm to create pseudo-random numbers with a longer period than is achievable with the LCG method by itself. [3]
A randomness test is a method to analyze the distribution of data to see if it is random or patterned. Learn about the philosophical and theoretical issues, the types of random number generators, and the practical measures of randomness.
A random seed is a number or vector used to initialize a pseudorandom number generator. Learn how random seeds are used in computer security, encryption, and synchronization of remote systems.
Wichmann–Hill is a pseudorandom number generator proposed in 1982 by Brian Wichmann and David Hill. [1] It consists of three linear congruential generators with different prime moduli, each of which is used to produce a uniformly distributed number between 0 and 1. These are summed, modulo 1, to produce the result. [2]
A linear congruential generator with base b = 2 32 is implemented as + = (+) , where c is a constant. If a ≡ 1 (mod 4) and c is odd, the resulting base-2 32 congruential sequence will have period 2 32.