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A hash filter creates a hash sum[clarification needed] from data[clarification needed], typically e-mail, and compares the sum against other previously defined sums. Depending on the purpose of the filter, the data can then be included or excluded in a function based on whether it matches an existing sum.
For example, when a message is received by an e-mail server with a hash filter, the contents of the e-mail are converted into a hash sum. If this sum corresponds to the hash sum of another e-mail which has been categorized as spam, the received e-mail is prevented from being delivered. Spammers attempt to evade this by adding random strings to the text content and random pixel changes ("confetti") to image content (see image spam).
elements in the set. An empty Bloom filter is a bit array of m bits, all set to 0. It is equipped with k different hash functions, which map set elements...
A hashfilter creates a hash sum[clarification needed] from data[clarification needed], typically e-mail, and compares the sum against other previously...
filters can achieve lower space overhead than space-optimized Bloom filters. Cuckoo filters were first described in 2014. A cuckoo filter uses a hash...
In computing, a hash table, also known as a hash map or a hash set, is a data structure that implements an associative array, also called a dictionary...
output. The values returned by a hash function are called hash values, hash codes, hash digests, digests, or simply hashes. The values are usually used to...
cartridge's mouthpiece. Hash oil is produced by solvent extraction (maceration, infusion or percolation) of marijuana or hashish. After filtering and evaporating...
Hashish (Arabic: حشيش, (IPA: [ħæʃiːʃ])), commonly shortened to hash, is an oleoresin made by compressing and processing parts of the cannabis plant, typically...
compact hash table underlying a quotient filter was described by Cleary in 1984. First known reference to using the structure as an AMQ filter is by Pagh...
Cuckoo hashing is a scheme in computer programming for resolving hash collisions of values of hash functions in a table, with worst-case constant lookup...
Bloom filter is a m counters, all set to 0. Similar to Bloom filter, there must also be k different hash functions defined, each of which maps or hashes some...
more quickly than other low-pass filters; and similar to the way a Zobrist hash can be rapidly updated from the old hash value. One of the main applications...
Hash array mapped trie Hash list Hash table Hash tree Hash trie Koorde Prefix hash tree Rolling hash MinHash Quotient filter Ctrie Many graph-based data...
Verilog VHDL Bloom filter (application for fast hashes) Cryptographic hash function Hash function Message authentication code List of hash functions Dobraunig...
been added to the Bloom filter. Assuming that the hash function has equal probability of selecting any index of the Bloom filter, the false positive rate...
to cryptographic hash functions, which are designed to have significantly different hashes for even minor differences. Fuzzy hashing has been used to...
machine learned filter. To address this challenge, Yahoo! Research attempted to use feature hashing for their spam filters. Note that the hashing trick isn't...
Double hashing is a computer programming technique used in conjunction with open addressing in hash tables to resolve hash collisions, by using a secondary...
computer science and data mining, MinHash (or the min-wise independent permutations locality sensitive hashing scheme) is a technique for quickly estimating...
well known AMQ filters. A Bloom filter is a bit array of m {\displaystyle m} bits with k {\displaystyle k} hash functions. Each hash function maps an...
is typically used to add words to spam e-mails, to bypass hashfilters. As the e-mail's hash sum is different from the sum of e-mails previously defined...
number with a string several times and hash this new string. It then has to do so over and over until a hash beginning with a certain amount of zeros...
A hashtag is a metadata tag that is prefaced by the hash symbol, #. On social media, hashtags are used on microblogging and photo-sharing services such...
a collision attack on a cryptographic hash tries to find two inputs producing the same hash value, i.e. a hash collision. This is in contrast to a preimage...
Rendezvous or highest random weight (HRW) hashing is an algorithm that allows clients to achieve distributed agreement on a set of k {\displaystyle k}...
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