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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

    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. This gives "2343" as the "random" number. Repeating this procedure gives "4896" as the next result, and so on. Von Neumann used 10 digit numbers, but the process was the same.

  4. Password strength - Wikipedia

    en.wikipedia.org/wiki/Password_strength

    Password strength. Options menu of the random password generation tool in KeePass. Enabling more character subsets raises the strength of generated passwords a small amount, whereas increasing their length raises the strength a large amount. Password strength is a measure of the effectiveness of a password against guessing or brute-force attacks.

  5. Hardware random number generator - Wikipedia

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

    A USB-pluggable hardware true random number generator. In computing, a hardware random number generator (HRNG), true random number generator (TRNG), non-deterministic random bit generator (NRBG), or physical random number generator 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 physical entropy ...

  6. Universally unique identifier - Wikipedia

    en.wikipedia.org/wiki/Universally_unique_identifier

    For example, the number of random version-4 UUIDs which need to be generated in order to have a 50% probability of at least one collision is 2.71 quintillion, computed as follows: n ≈ 1 2 + 1 4 + 2 × ln ⁡ ( 2 ) × 2 122 ≈ 2.71 × 10 18 . {\displaystyle n\approx {\frac {1}{2}}+{\sqrt {{\frac {1}{4}}+2\times \ln(2)\times 2^{122}}}\approx 2 ...

  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. Personal identification number - Wikipedia

    en.wikipedia.org/wiki/Personal_identification_number

    A personal identification number ( PIN ), PIN code, or sometimes redundantly a PIN number, is a numeric (sometimes alpha-numeric) passcode used in the process of authenticating a user accessing a system. The PIN has been the key to facilitating the private data exchange between different data-processing centers in computer networks for ...

  9. Hamming(7,4) - Wikipedia

    en.wikipedia.org/wiki/Hamming(7,4)

    Hamming (7,4) In coding theory, Hamming (7,4) is a linear error-correcting code that encodes four bits of data into seven bits by adding three parity bits. It is a member of a larger family of Hamming codes, but the term Hamming code often refers to this specific code that Richard W. Hamming introduced in 1950.

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