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Comparison of implementations of message authentication code (MAC) algorithms. A MAC is a short piece of information used to authenticate a message—in other words, to confirm that the message came from the stated sender (its authenticity) and has not been changed in transit (its integrity). Implementation. HMAC - MD5.
PyCrypto – The Python Cryptography Toolkit PyCrypto, extended in PyCryptoDome; keyczar – Cryptography Toolkit keyczar; M2Crypto – M2Crypto is the most complete OpenSSL wrapper for Python. Cryptography – Python library which exposes cryptographic recipes and primitives. PyNaCl – Python binding for libSodium (NaCl)
Paillier cryptosystem. The Paillier cryptosystem, invented by and named after Pascal Paillier in 1999, is a probabilistic asymmetric algorithm for public key cryptography. The problem of computing n -th residue classes is believed to be computationally difficult. The decisional composite residuosity assumption is the intractability hypothesis ...
A cryptographic hash function (CHF) is a hash algorithm (a map of an arbitrary binary string to a binary string with a fixed size of bits) that has special properties desirable for a cryptographic application: [ 1 ] the probability of a particular n {\displaystyle n} -bit output result (hash value) for a random input string ("message") is 2 − ...
Website. nacl.cr.yp.to. NaCl (Networking and Cryptography Library, pronounced "salt") is a public domain, high-speed software library for cryptography. [2] NaCl was created by the mathematician and programmer Daniel J. Bernstein, who is best known for the creation of qmail and Curve25519. The core team also includes Tanja Lange and Peter ...
Zero-knowledge proof. In cryptography, a zero-knowledge proof is a protocol in which one party (the prover) can convince another party (the verifier) that some given statement is true, without conveying to the verifier any information beyond the mere fact of that statement's truth. [1] The intuition underlying zero-knowledge proofs is that it ...
cryptlib is a security toolkit library that allows programmers to incorporate encryption and authentication services to software. It provides a high-level interface so strong security capabilities can be added to an application without needing to know many of the low-level details of encryption or authentication algorithms. It comes with an ...
Learning with errors. In cryptography, learning with errors (LWE) is a mathematical problem that is widely used to create secure encryption algorithms. [1] It is based on the idea of representing secret information as a set of equations with errors. In other words, LWE is a way to hide the value of a secret by introducing noise to it. [2]