Hashing is the process of transforming any given key or a string of characters into another value. This is usually represented by a shorter, fixed-length value or key that represents and makes it easier to find or employ the original string. The most popular use for hashing is the implementation of hash tables.
Hashing is the process of converting a given key into another value. A hash function is used to generate the new value according to a mathematical algorithm. The result of a hash function is known as a hash value or simply, a hash.
Hashing is an algorithm performed on data such as a file or message to produce a number called a hash (sometimes called a checksum). The hash is used to verify that data is not modified, tampered with, or corrupted.
In cryptocurrency mining, a target hash is a numeric value that a hashed block header (which is used to identify individual blocks in a blockchain) must be less than or equal to in order for a new block to be awarded to a miner.
Hashing and Encryption have a bit of difference as hashing refers to permanent data conversion into message digest while encryption works in two ways, which can encode and decode the data. Hashing helps protect the integrity of the information and Encryption is used to secure the data from the reach of third parties.
Hash functions are created to not be decrypted, their algorithms are public. The only way to decrypt a hash is to know the input data.
Hashing is a method of cryptography that converts any form of data into a unique string of text. Any piece of data can be hashed, no matter its size or type. In traditional hashing, regardless of the data's size, type, or length, the hash that any data produces is always the same length.
Hashes cannot be used to discover the contents of the original message, or any of its other characteristics, but can be used to determine whether the message has changed. In this way, hashes provide confidentiality, but not integrity.
Password hash salting is when random data – a salt – is used as an additional input to a hash function that hashes a password. The goal of salting is to defend against dictionary attacks or attacks against hashed passwords using a rainbow table.
a hashing algorithm produces a fixed size output regardless of input. The main difference is conceptual: while hashes are used to guarantee the integrity of data, a MAC guarantees integrity AND authentication.
What is Hashing? Whereas encryption algorithms are reversible (with the key) and built to provide confidentiality (some newer ones also providing authenticity), hashing algorithms are irreversible and built to provide integrity in order to certify that a particular piece of data has not been modified.
A hash function is a mathematical function that converts an input value into a compressed numerical value – a hash or hash value. Basically, it's a processing unit that takes in data of arbitrary length and gives you the output of a fixed length – the hash value.
Where is that “trusted mechanic” when it comes to software installation or file downloads? The answer is hash validation. A hash value is a digital fingerprint (a checksum) created by performing a mathematical operation (a hash function) on the data comprising a computer program or other digital file.
Compare-by-hash is the now-common practice used by systems designers who assume that when the digest of a cryptographic hash function is equal on two distinct files, then those files are identical. This approach has been used in both real projects and in research efforts (for example rysnc  and LBFS ).
See this answer. Show activity on this post. Yes, different files can produce the same hash value. As you say, a hash function goes from a "big" discrete space X to a smaller image space Y, and is thus many-to-one.
Hashin involves applying a hashing algorithm to a data item, known as the hashing key, to create a hash value. Hashing algorithms take a large range of values (such as all possible strings or all possible files) and map them onto a smaller set of values (such as a 128 bit number).
Collisions. Definition: A collision occurs when more than one value to be hashed by a particular hash function hash to the same slot in the table or data structure (hash table) being generated by the hash function.
One method for resolving collisions looks into the hash table and tries to find another open slot to hold the item that caused the collision. A simple way to do this is to start at the original hash value position and then move in a sequential manner through the slots until we encounter the first slot that is empty.
In computer science, a hash collision or clash is when two pieces of data in a hash table share the same hash value. The hash value in this case is derived from a hash function which takes a data input and returns a fixed length of bits.
What is the disadvantage of hashing with chaining? Explanation: Hashing with separate chaining has a disadvantage that it takes more space. This space is used for storing elements in case of a collision.