Pseudorandom number generators

algorithm that generates a sequence of numbers whose properties approximate those of sequences of true random numbers

In cryptography, RC4 (also known as ARC4 or ARCFOUR, meaning Alleged RC4, see below) is a stream cipher. While it is remarkable for its simplicity and speed in software, multiple vulnerabilities have been discovered in RC4, rendering it insecure. It is especially vulnerable when the beginning of the output keystream is not discarded, or when nonrandom or related keys are used. Particularly problematic uses of RC4 have led to insecure protocols such as the obsolete WEP protocol historically used to secure WiFi networks.

type of shift register in computing

pseudorandom number generator

pseudorandom number generator

pseudorandom number generator whose period is a Mersenne prime

value used to initialize a pseudo-random number generator

example of a pseudorandom number generator

one-dimensional cellular automaton rule with chaotic behavior

controversial pseudorandom number generator

pseudorandom number generator

thumb|right|Example random distribution of Xorshift128 Xorshift random number generators, also called shift-register generators, are a class of pseudorandom number generators that were invented by George Marsaglia. They are a subset of linear-feedback shift registers (LFSRs) which allow a particularly efficient implementation in software without the excessive use of sparse polynomials. They generate the next number in their sequence by repeatedly taking the exclusive or of a number with a bit-shifted version of itself. This makes execution extremely efficient on modern computer architectures,

thumb|right|Three-dimensional space|Three-dimensional plot of 100,000 values generated with RANDU. Each point represents 3 consecutive pseudorandom values. It is clearly seen that the points fall in 15 two-dimensional planes.

family of cryptographic pseudorandom number generators devised by J. Kelsey, B. Schneier, and N. Ferguson

algorithm for pseudo-random number sampling

cryptographic algorithm

randomness collected by an operating system or application for use in cryptography or other uses that require random data

cryptographically secure pseudorandom number generator

class of attack on cryptographic systems

Statistical test for linear congruential generators

generating pseudo-random numbers that follow a probability distribution

method for generating random numbers