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  2. List of random number generators - Wikipedia

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

    Default generator in R and the Python language starting from version 2.3. Xorshift: 2003 G. Marsaglia [26] It is a very fast sub-type of LFSR generators. Marsaglia also suggested as an improvement the xorwow generator, in which the output of a xorshift generator is added with a Weyl sequence.

  3. Steam (service) - Wikipedia

    en.wikipedia.org/wiki/Steam_(service)

    A grey market exists around Steam keys, where less reputable buyers purchase a large number of Steam keys for a game when it is offered for a low cost, and then resell these keys to users or other third-party sites at a higher price. [69] [70] This caused some of these third-party sites, such as G2A, to be embroiled in this grey market. [71]

  4. Key generation - Wikipedia

    en.wikipedia.org/wiki/Key_generation

    The remainder of the conversation uses a (typically faster) symmetric-key algorithm for encryption. Computer cryptography uses integers for keys. In some cases, keys are randomly generated using a random number generator (RNG) or pseudorandom number generator (PRNG). A PRNG is a computer algorithm that

  5. Random number generator attack - Wikipedia

    en.wikipedia.org/wiki/Random_number_generator_attack

    The stream cipher key or seed should be changeable in a way that can be audited and derived from a trustworthy source, e.g. dice throws. The Fortuna random number generator is an example of an algorithm which uses this mechanism. Generate passwords and passphrases using a true random source.

  6. Key generator - Wikipedia

    en.wikipedia.org/wiki/Key_generator

    A key generator [1] [2] [3] is a protocol or algorithm that is used in many cryptographic protocols to generate a sequence with many pseudo-random characteristics. This sequence is used as an encryption key at one end of communication, and as a decryption key at the other.

  7. Stream cipher - Wikipedia

    en.wikipedia.org/wiki/Stream_cipher

    Key generation, distribution and management are critical for those applications. A stream cipher makes use of a much smaller and more convenient key such as 128 bits. Based on this key, it generates a pseudorandom keystream which can be combined with the plaintext digits in a similar fashion to the one-time pad. However, this comes at a cost.

  8. RSA (cryptosystem) - Wikipedia

    en.wikipedia.org/wiki/RSA_(cryptosystem)

    A cryptographically strong random number generator, which has been properly seeded with adequate entropy, must be used to generate the primes p and q. An analysis comparing millions of public keys gathered from the Internet was carried out in early 2012 by Arjen K. Lenstra , James P. Hughes, Maxime Augier, Joppe W. Bos, Thorsten Kleinjung and ...

  9. Applications of randomness - Wikipedia

    en.wikipedia.org/wiki/Applications_of_randomness

    With keys having low entropy (i.e., relatively easily guessable by attackers), security is likely to be compromised. To illustrate, imagine if a simple 32 bit linear congruential pseudo-random number generator of the type supplied with most programming languages (e.g., as the 'rand' or 'rnd' function) is used as a source of keys.

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