Search results
Results from the WOW.Com Content Network
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.
The goal of Nilsimsa is to generate a hash digest of an email message such that the digests of two similar messages are similar to each other. In comparison with cryptographic hash functions such as SHA-1 or MD5, making a small modification to a document does not substantially change the resulting hash of the document. The paper suggests that ...
hash HAS-160: 160 bits hash HAVAL: 128 to 256 bits hash JH: 224 to 512 bits hash LSH [19] 256 to 512 bits wide-pipe Merkle–Damgård construction: MD2: 128 bits hash MD4: 128 bits hash MD5: 128 bits Merkle–Damgård construction: MD6: up to 512 bits Merkle tree NLFSR (it is also a keyed hash function) RadioGatún: arbitrary ideal mangling ...
Nilsimsa Hash is an anti-spam focused locality-sensitive hashing algorithm. ssdeep is a fuzzy hashing tool based on context-piecewise triggered hashing to compare files. [4] sdhash is a fuzzy hashing tool based on using bloom filters to determine whether one file is contained within another or how similar two files are to each other. [11]
The AOL Desktop Gold Download Manager allows you to access a list of your downloaded files in one convenient location. Use the Download Manager to access and search downloads, sort downloads, web search similar items, and more. Open the Download Manager to access a download
Non-cryptographic hash functions optimized for software frequently involve the multiplication operation. Since in-hardware multiplication is resource-intensive and frequency-limiting, ASIC-friendlier designs had been proposed, including SipHash (which has an additional benefit of being able to use a secret key for message authentication), NSGAhash, and XORhash.
HashKeeper compares hash values of known to be good files against the hash values of files on a computer system. Where those values match "known to be good" files, the examiner can say, with substantial certainty, that the corresponding files on the computer system have been previously identified as known to be good and therefore do not need to ...
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.