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  2. 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.

  3. Image file format - Wikipedia

    en.wikipedia.org/wiki/Image_file_format

    JPEG-HDR is a file format from Dolby Labs similar to RGBE encoding, standardized as JPEG XT Part 2. JPEG XT Part 7 includes support for encoding floating point HDR images in the base 8-bit JPEG file using enhancement layers encoded with four profiles (A-D); Profile A is based on the RGBE format and Profile B on the XDepth format from Trellis ...

  4. Collision attack - Wikipedia

    en.wikipedia.org/wiki/Collision_attack

    This attack is normally harder, a hash of n bits can be broken in 2 (n/2)+1 time steps, but is much more powerful than a classical collision attack. Mathematically stated, given two different prefixes p 1, p 2, the attack finds two suffixes s 1 and s 2 such that hash(p 1 ∥ s 1) = hash(p 2 ∥ s 2) (where ∥ is the concatenation operation).

  5. 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.

  6. 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.

  7. Fuzzy hashing - Wikipedia

    en.wikipedia.org/wiki/Fuzzy_hashing

    Fuzzy hashing exists to solve this problem of detecting data that is similar, but not exactly the same, as other data. Fuzzy hashing algorithms specifically use algorithms in which two similar inputs will generate two similar hash values. This property is the exact opposite of the avalanche effect desired in cryptographic hash functions.

  8. Secure Hash Algorithms - Wikipedia

    en.wikipedia.org/wiki/Secure_Hash_Algorithms

    The Secure Hash Algorithms are a family of cryptographic hash functions published by the National Institute of Standards and Technology (NIST) as a U.S. Federal Information Processing Standard (FIPS), including: SHA-0: A retronym applied to the original version of the 160-bit hash function published in 1993 under the name "SHA". It was ...

  9. 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 ...