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cryptography Cryptography, or cryptology (from "hidden, secret"; and ''graphein'', "to write", or ''-logy, -logia'', "study", respectively), is the practice and study of techniques for secure communication in the presence of Adversary (cryptography), ...
, a universal hashing message authentication code, or UMAC, is a message authentication code (MAC) calculated using universal hashing, which involves choosing a hash function from a class of hash functions according to some secret (random) process and applying it to the message. The resulting digest or fingerprint is then encrypted to hide the identity of the hash function that was used. A variation of the scheme was first published in 1999. As with any MAC, it may be used to simultaneously verify both the ''
data integrity Data integrity is the maintenance of, and the assurance of, data accuracy and consistency over its entire Information Lifecycle Management, life-cycle. It is a critical aspect to the design, implementation, and usage of any system that stores, proc ...
'' and the ''authenticity'' of a
message A message is a unit of communication that conveys information from a sender to a receiver. It can be transmitted through various forms, such as spoken or written words, signals, or electronic data, and can range from simple instructions to co ...
. In contrast to traditional MACs, which are serializable, a UMAC can be executed in parallel. Thus, as machines continue to offer more parallel-processing capabilities, the speed of implementing UMAC can increase., Equation 1 and also section 4.2 "Definition of NH". A specific type of UMAC, also commonly referred to just as "UMAC", is described in an informational RFC published as RFC 4418 in March 2006. It has provable cryptographic strength and is usually substantially less computationally intensive than other MACs. UMAC's design is optimized for 32-bit architectures with
SIMD Single instruction, multiple data (SIMD) is a type of parallel computer, parallel processing in Flynn's taxonomy. SIMD describes computers with multiple processing elements that perform the same operation on multiple data points simultaneousl ...
support, with a performance of 1 CPU cycle per byte (cpb) with SIMD and 2 cpb without SIMD. A closely related variant of UMAC that is optimized for 64-bit architectures is given by VMAC, which was submitted to the IETF as a draft in April 2007 () but never gathered enough attention to be approved as an RFC.


Background


Universal hashing

Let's say the
hash function A hash function is any Function (mathematics), function that can be used to map data (computing), data of arbitrary size to fixed-size values, though there are some hash functions that support variable-length output. The values returned by a ...
is chosen from a class of hash functions H, which maps messages into D, the set of possible message digests. This class is called universal if, for any distinct pair of messages, there are at most , H, /, D, functions that map them to the same member of D. This means that if an attacker wants to replace one message with another and, from his point of view, the hash function was chosen completely randomly, the probability that the UMAC will not detect his modification is at most 1/, D, . But this definition is not strong enough — if the possible messages are 0 and 1, D= and H consists of the identity operation and ''not'', H is universal. But even if the digest is encrypted by modular addition, the attacker can change the message and the digest at the same time and the receiver wouldn't know the difference.


Strongly universal hashing

A class of hash functions H that is good to use will make it difficult for an attacker to guess the correct digest ''d'' of a fake message ''f'' after intercepting one message ''a'' with digest ''c''. In other words, :\Pr_ h(a)=c, needs to be very small, preferably 1/, ''D'', . It is easy to construct a class of hash functions when ''D'' is field. For example, if , ''D'', is prime, all the operations are taken
modulo In computing and mathematics, the modulo operation returns the remainder or signed remainder of a division, after one number is divided by another, the latter being called the '' modulus'' of the operation. Given two positive numbers and , mo ...
, ''D'', . The message ''a'' is then encoded as an ''n''-dimensional vector over . ''H'' then has , ''D'', ''n''+1 members, each corresponding to an -dimensional vector over . If we let : h(a) = h_0 + \sum_^n we can use the rules of probabilities and combinatorics to prove that : \Pr_ h(a)=c If we properly encrypt all the digests (e.g. with a one-time pad), an attacker cannot learn anything from them and the same hash function can be used for all communication between the two parties. This may not be true for ECB encryption because it may be quite likely that two messages produce the same hash value. Then some kind of initialization vector should be used, which is often called the nonce. It has become common practice to set ''h''0 = ''f''(nonce), where ''f'' is also secret. Notice that having massive amounts of computer power does not help the attacker at all. If the recipient limits the amount of forgeries it accepts (by sleeping whenever it detects one), , ''D'', can be 232 or smaller.


Example

The following C function generates a 24 bit UMAC. It assumes that secret is a multiple of 24 bits, msg is not longer than secret and result already contains the 24 secret bits e.g. f(nonce). nonce does not need to be contained in msg. /* DUBIOUS: This does not seem to have anything to do with the (likely long) RFC * definition. This is probably an example for the general UMAC concept. * Who the heck from 2007 (Nroets) chooses 3 bytes in an example? * * We gotta move this along with a better definition of str. uni. hash into * uni. hash. */ #define uchar uint8_t void UHash24 (uchar *msg, uchar *secret, size_t len, uchar *result) #define uchar uint8_t #define swap32(x) ((x) & 0xff) << 24 , ((x) & 0xff00) << 8 , ((x) & 0xff0000) >> 8 , (x) & 0xff000000) >> 24) /* This is the same thing, but grouped up (generating better assembly and stuff). It is still bad and nobody has explained why it's strongly universal. */ void UHash24Ex (uchar *msg, uchar *secret, size_t len, uchar *result)


NH and the RFC UMAC


NH

Functions in the above unnamed strongly universal hash-function family uses ''n'' multiplies to compute a hash value. The NH family halves the number of multiplications, which roughly translates to a two-fold speed-up in practice., section 5.3 For speed, UMAC uses the NH hash-function family. NH is specifically designed to use
SIMD Single instruction, multiple data (SIMD) is a type of parallel computer, parallel processing in Flynn's taxonomy. SIMD describes computers with multiple processing elements that perform the same operation on multiple data points simultaneousl ...
instructions, and hence UMAC is the first MAC function optimized for SIMD. The following hash family is 2^-universal:, Equation 1 and also section 4.2 "Definition of NH". : \operatorname_(M) = \left( \sum_^ ((m_ + k_) \bmod ~ 2^w ) \cdot ((m_ + k_) \bmod ~ 2^w ) \right) \bmod ~ 2^ . where * The message M is encoded as an ''n''-dimensional vector of ''w''-bit words (''m''0, ''m''1, ''m''2, ..., ''m''''n-1''). * The intermediate key K is encoded as an ''n+1''-dimensional vector of ''w''-bit words (''k''0, ''k''1, ''k''2, ..., ''k''''n''). A pseudorandom generator generates K from a shared secret key. Practically, NH is done in unsigned integers. All multiplications are mod 2^''w'', all additions mod 2^''w''/2, and all inputs as are a vector of half-words (w/2 = 32-bit integers). The algorithm will then use \lceil k/2 \rceil multiplications, where k was the number of half-words in the vector. Thus, the algorithm runs at a "rate" of one multiplication per word of input.


RFC 4418

RFC 4418 is an informational RFC that describes a wrapping of NH for UMAC. The overall UHASH ("Universal Hash Function") routine produces a variable length of tags, which corresponds to the number of iterations (and the total lengths of keys) needed in all three layers of its hashing. Several calls to an AES-based key derivation function is used to provide keys for all three keyed hashes. * Layer 1 (1024 byte chunks -> 8 byte hashes concatenated) uses NH because it is fast. * Layer 2 hashes everything down to 16 bytes using a POLY function that performs prime modulus arithmetics, with the prime changing as the size of the input grows. * Layer 3 hashes the 16-byte string to a fixed length of 4 bytes. This is what one iteration generates. In RFC 4418, NH is rearranged to take a form of: Y = 0 for (i = 0; i < t; i += 8) do \begin \mathtt &= \mathtt \\ \mathtt &= \mathtt \\ \mathtt &= \mathtt \\ \mathtt &= \mathtt \end end for This definition is designed to encourage programmers to use SIMD instructions on the accumulation, since only data with four indices away are likely to not be put in the same SIMD register, and hence faster to multiply in bulk. On a hypothetical machine, it could simply translate to: movq $0, regY ; Y = 0 movq $0, regI ; i = 0 loop: add reg1, regM, regI ; reg1 = M + i add reg2, regM, regI vldr.4x32 vec1, reg1 ; load 4x32bit vals from memory *reg1 to vec1 vldr.4x32 vec2, reg2 vmul.4x64 vec3, vec1, vec2 ; vec3 = vec1 * vec2 uaddv.4x64 reg3, vec3 ; horizontally sum vec3 into reg3 add regY, regY, reg3 ; regY = regY + reg3 add regI, regI, $8 cmp regI, regT jlt loop


See also

* Poly1305, another fast MAC based on strongly universal hashing * MMH-Badger MAC, another fast MAC


References


External links

* * {{Cryptography navbox , hash Message authentication codes