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  2. List of random number generators - Wikipedia

    en.wikipedia.org/wiki/List_of_random_number...

    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.

  3. Pseudorandom number generator - Wikipedia

    en.wikipedia.org/wiki/Pseudorandom_number_generator

    The algorithm is as follows: take any number, square it, remove the middle digits of the resulting number as the "random number", then use that number as the seed for the next iteration. For example, squaring the number "1111" yields "1234321", which can be written as "01234321", an 8-digit number being the square of a 4-digit number.

  4. Hardware random number generator - Wikipedia

    en.wikipedia.org/wiki/Hardware_random_number...

    In computing, a hardware random number generator ( HRNG ), true random number generator ( TRNG ), non-deterministic random bit generator ( NRBG ), [1] or physical random number generator [2] [3] is a device that generates random numbers from a physical process capable of producing entropy (in other words, the device always has access to a ...

  5. International Mobile Equipment Identity - Wikipedia

    en.wikipedia.org/wiki/International_Mobile...

    The International Mobile Equipment Identity ( IMEI) [1] is a numeric identifier, usually unique, [2] [3] for 3GPP and iDEN mobile phones, as well as some satellite phones. It is usually found printed inside the battery compartment of the phone but can also be displayed on-screen on most phones by entering the MMI Supplementary Service code *#06 ...

  6. Pseudorandom binary sequence - Wikipedia

    en.wikipedia.org/wiki/Pseudorandom_binary_sequence

    A pseudorandom binary sequence (PRBS), pseudorandom binary code or pseudorandom bitstream is a binary sequence that, while generated with a deterministic algorithm, is difficult to predict [1] and exhibits statistical behavior similar to a truly random sequence.

  7. Random number generation - Wikipedia

    en.wikipedia.org/wiki/Random_number_generation

    Random number generation is a process by which, often by means of a random number generator (RNG), a sequence of numbers or symbols that cannot be reasonably predicted better than by random chance is generated. This means that the particular outcome sequence will contain some patterns detectable in hindsight but impossible to foresee.

  8. Pseudorandom noise - Wikipedia

    en.wikipedia.org/wiki/Pseudorandom_noise

    A pseudo-noise code (PN code) or pseudo-random-noise code (PRN code) is one that has a spectrum similar to a random sequence of bits but is deterministically generated. The most commonly used sequences in direct-sequence spread spectrum systems are maximal length sequences , Gold codes , Kasami codes , and Barker codes .

  9. Random seed - Wikipedia

    en.wikipedia.org/wiki/Random_seed

    A random seed (or seed state, or just seed) is a number (or vector) used to initialize a pseudorandom number generator . For a seed to be used in a pseudorandom number generator, it does not need to be random. Because of the nature of number generating algorithms, so long as the original seed is ignored, the rest of the values that the ...

  10. Service number - Wikipedia

    en.wikipedia.org/wiki/Service_number

    Service number. A service number (Roll number) is an identification code used to identify a person within a large group. Service numbers are most often associated with the military; however, they also may be used in civilian organizations. National identification numbers may be seen as types of service numbers.

  11. Random.org - Wikipedia

    en.wikipedia.org/wiki/Random.org

    A binary digit (bit) can be either 0 or 1. There are several Random.org radios located in Copenhagen, Dublin, and Ballsbridge, each generating 12,000 bits per second from the atmospheric noise picked up. The generators produce a continuous string of random bits which are converted into the form requested (integer, Gaussian distribution, etc.)