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  2. File verification - Wikipedia

    en.wikipedia.org/wiki/File_verification

    File verification is the process of using an algorithm for verifying the integrity of a computer file, usually by checksum.This can be done by comparing two files bit-by-bit, but requires two copies of the same file, and may miss systematic corruptions which might occur to both files.

  3. Perceptual hashing - Wikipedia

    en.wikipedia.org/wiki/Perceptual_hashing

    Perceptual hashing is the use of a fingerprinting algorithm that produces a snippet, hash, or fingerprint of various forms of multimedia. [ 1 ] [ 2 ] A perceptual hash is a type of locality-sensitive hash , which is analogous if features of the multimedia are similar.

  4. Cryptographic hash function - Wikipedia

    en.wikipedia.org/wiki/Cryptographic_hash_function

    Such file hashes are often the top hash of a hash list or a hash tree, which allows for additional benefits. One of the main applications of a hash function is to allow the fast look-up of data in a hash table. Being hash functions of a particular kind, cryptographic hash functions lend themselves well to this application too.

  5. Comparison of cryptographic hash functions - Wikipedia

    en.wikipedia.org/wiki/Comparison_of...

    The following tables compare general and technical information for a number of cryptographic hash functions. See the individual functions' articles for further information. This article is not all-inclusive or necessarily up-to-date. An overview of hash function security/cryptanalysis can be found at hash function security summary.

  6. Locality-sensitive hashing - Wikipedia

    en.wikipedia.org/wiki/Locality-sensitive_hashing

    In computer science, locality-sensitive hashing (LSH) is a fuzzy hashing technique that hashes similar input items into the same "buckets" with high probability. [1] ( The number of buckets is much smaller than the universe of possible input items.) [1] Since similar items end up in the same buckets, this technique can be used for data clustering and nearest neighbor search.

  7. Watermark (data file) - Wikipedia

    en.wikipedia.org/wiki/Watermark_(data_file)

    The subscriber simply compares a hash of the received data file with the known hash from the trusted source. This can lead to two situations: the hash being the same or the hash being different. If the hash results are the same, the systems involved can have an appropriate degree of confidence to the integrity of the received data.

  8. File:Cryptographic Hash Function.svg - Wikipedia

    en.wikipedia.org/wiki/File:Cryptographic_Hash...

    740 × 536 (15 KB) Lichtspiel: Try to fix ordering of letters: 07:24, 12 June 2011: 740 × 536 (15 KB) Lichtspiel: Use 'Courier' font again, use different approach to highlight changes: 07:13, 12 June 2011: 740 × 536 (15 KB) Lichtspiel: Resize, use red colour for changes, use font 'Courier 10 Pitch' 04:57, 27 November 2008: 806 × 600 (13 KB ...

  9. BLAKE (hash function) - Wikipedia

    en.wikipedia.org/wiki/BLAKE_(hash_function)

    BLAKE is a cryptographic hash function based on Daniel J. Bernstein's ChaCha stream cipher, but a permuted copy of the input block, XORed with round constants, is added before each ChaCha round. Like SHA-2 , there are two variants differing in the word size.