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  2. JSFuck - Wikipedia

    en.wikipedia.org/wiki/JSFuck

    Other digits follow a similar pattern. Integers consisting of two or more digits are written, as a string, by concatenating 1-digit arrays with the plus operator. For example, the string "10" can be expressed in JavaScript as [1] + [0]. By replacing the digits with the respective JSFuck expansions, this yields [+!+[]]+[+[]].

  3. Cryptographically secure pseudorandom number generator

    en.wikipedia.org/wiki/Cryptographically_secure...

    In the asymptotic setting, a family of deterministic polynomial time computable functions : {,} {,} for some polynomial p, is a pseudorandom number generator (PRNG, or PRG in some references), if it stretches the length of its input (() > for any k), and if its output is computationally indistinguishable from true randomness, i.e. for any probabilistic polynomial time algorithm A, which ...

  4. 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.

  5. Salt (cryptography) - Wikipedia

    en.wikipedia.org/wiki/Salt_(cryptography)

    In practice, a salt is usually generated using a Cryptographically Secure PseudoRandom Number Generator. CSPRNGs are designed to produce unpredictable random numbers which can be alphanumeric. While generally discouraged due to lower security, some systems use timestamps or simple counters as a source of salt.

  6. /dev/random - Wikipedia

    en.wikipedia.org/wiki/Dev/random

    Random number generation in kernel space was implemented for the first time for Linux [2] in 1994 by Theodore Ts'o. [6] The implementation used secure hashes rather than ciphers, [clarification needed] to avoid cryptography export restrictions that were in place when the generator was originally designed.

  7. Comparison of parser generators - Wikipedia

    en.wikipedia.org/.../Comparison_of_parser_generators

    A classic example of a problem which a regular grammar cannot handle is the question of whether a given string contains correctly nested parentheses. (This is typically handled by a Chomsky Type 2 grammar, also termed a context-free grammar.)

  8. Sponge function - Wikipedia

    en.wikipedia.org/wiki/Sponge_function

    In theoretical cryptanalysis, a random sponge function is a sponge construction where f is a random permutation or transformation, as appropriate. Random sponge functions capture more of the practical limitations of cryptographic primitives than does the widely used random oracle model, in particular the finite internal state.

  9. NPM1 - Wikipedia

    en.wikipedia.org/wiki/NPM1

    In humans, the NPM1 gene is located on the long arm of chromosome 5 (5q35). The gene spans 23 kb and contains 12 exons. Three transcript variants have been described. The longest isoform (294 amino acids long), encoded by transcript variant 1, is the major and the most well studied isoform of Nucleophosmin.