In computer programming hash functions map text (or other data) to integer numbers. Usually different inputs maps to different outputs, but sometimes a collision may happen (different input with the same output).
Cryptographic hash functions transform text or binary data to fixed-length hash value and are known to be collision-resistant and irreversible. Example of cryptographic hash function is SHA3-256:
SHA3-256("hello") = "3338be694f50c5f338814986cdf0686453a888b84f424d792af4b9202398f392"
The above SHA3-256 hash calculation can be coded in Python like this:
import hashlib, binascii sha3_256hash = hashlib.sha3_256(b'hello').digest() print("SHA3-256('hello') =", binascii.hexlify(sha3_256hash))
Run the above code example: https://repl.it/@nakov/SHA3-256-hello-in-Python.
npm install js-sha3):
sha3 = require('js-sha3'); let sha3_256hash = sha3.sha3_256('hello').toString(); console.log("SHA3-256('hello') =", sha3_256hash);
Run the above code example: https://repl.it/@nakov/SHA3-256-hello-in-JS.
The process of calculating the value of certain hash function is called "hashing".
In the above example the text
John Smith is hashed to the hash value
Lisa Smith is hashed to
01. The input texts
John Smith and
Sandra Dee both are hashed to
02 and this is called "collision".
Hash functions are irreversible by design, which means that there is no fast algorithm to restore the input message from its hash value.
In programming hash functions are used in the implementation of the data structure "hash-table" (associative array) which maps values of certain input type to values of another type, e.g. map product name (text) to product price (decimal number).
A naive hash function is just to sum the bytes of the input data / text. It causes a lot of collisions, e.g.
ehllo will have the same hash code. Better hash functions may use the Merkle–Damgård construction scheme, which takes the first byte as state, then transforms the state (e.g. multiplies it by a prime number like 31), then adds the next byte to the state, then again transforms the state and adds the next byte, etc. This significantly reduces the rate of collisions and produces better distribution.
In cryptography, hash functions transform input data of arbitrary size (e.g. a text message) to a result of fixed size (e.g. 256 bits), which is called hash value (or hash code, message digest, or simply hash). Hash functions (hashing algorithms) used in computer cryptography are known as "cryptographic hash functions". Examples of such functions are SHA-256 and SHA3-256, which transform arbitrary input to 256-bit output.
As an example, we can take the cryptographic hash function
SHA-256 and calculate the hash value of certain text message
SHA-256("hello") = "2cf24dba5fb0a30e26e83b2ac5b9e29e1b161e5c1fa7425e73043362938b9824"
The above SHA-256 calculation can be coded in Python like this:
import hashlib, binascii sha256hash = hashlib.sha256(b'hello').digest() print("SHA-256('hello') = ", binascii.hexlify(sha256hash))
Run the above code example: https://repl.it/@nakov/SHA-256hello.
There is no efficient algorithm to find the input message (in the above example
hello) from its hash value (in the above example
2cf24dba5fb0a30e26e83b2ac5b9e29e1b161e5c1fa7425e73043362938b9824). It is well-known that cryptographic hash functions cannot be reversed back, so they are used widely to encode an input without revealing it (e.g. encode a private key to a blockchain address without revealing the key).
As another example, we can take the cryptographic hash function
SHA3-512 and calculate the hash value of the same text message
SHA3-512("hello") = "75d527c368f2efe848ecf6b073a36767800805e9eef2b1857d5f984f036eb6df891d75f72d9b154518c1cd58835286d1da9a38deba3de98b5a53e5ed78a84976"
Play with most popular cryptographic hash functions online: https://www.fileformat.info/tool/hash.htm.
Cryptographic hash functions are widely used in cryptography, in computer programming and in blockchain systems.