Pairing-based cryptography is the use of a
pairing
In mathematics, a pairing is an ''R''- bilinear map from the Cartesian product of two ''R''- modules, where the underlying ring ''R'' is commutative.
Definition
Let ''R'' be a commutative ring with unit, and let ''M'', ''N'' and ''L'' be '' ...
between elements of two cryptographic
groups to a third group with a mapping
to construct or analyze
cryptographic systems.
Definition
The following definition is commonly used in most academic papers.
Let
be a
finite field
In mathematics, a finite field or Galois field (so-named in honor of Évariste Galois) is a field (mathematics), field that contains a finite number of Element (mathematics), elements. As with any field, a finite field is a Set (mathematics), s ...
over prime
,
two additive
cyclic groups of prime order
and
another cyclic group of order
written multiplicatively. A pairing is a map:
, which satisfies the following properties:
;
Bilinearity:
;
Non-degeneracy:
; Computability: There exists an efficient
algorithm
In mathematics and computer science, an algorithm () is a finite sequence of Rigour#Mathematics, mathematically rigorous instructions, typically used to solve a class of specific Computational problem, problems or to perform a computation. Algo ...
to compute
.
Classification
If the same group is used for the first two groups (i.e.
), the pairing is called ''symmetric'' and is a
mapping from two elements of one group to an element from a second group.
Some researchers classify pairing instantiations into three (or more) basic types:
#
;
#
but there is an ''efficiently computable''
homomorphism
In algebra, a homomorphism is a morphism, structure-preserving map (mathematics), map between two algebraic structures of the same type (such as two group (mathematics), groups, two ring (mathematics), rings, or two vector spaces). The word ''homo ...
;
#
and there are no ''efficiently computable'' homomorphisms between
and
.
Usage in cryptography
If symmetric, pairings can be used to reduce a hard problem in one group to a different, usually easier problem in another group.
For example, in groups equipped with a
bilinear mapping such as the
Weil pairing or
Tate pairing, generalizations of the
computational Diffie–Hellman problem are believed to be infeasible while the simpler
decisional Diffie–Hellman problem can be easily solved using the pairing function. The first group is sometimes referred to as a Gap Group because of the assumed difference in difficulty between these two problems in the group.
Let
be a non-degenerate, efficiently computable, bilinear pairing. Let
be a generator of
. Consider an instance of the
CDH problem,
,
,
. Intuitively, the pairing function
does not help us compute
, the solution to the CDH problem. It is conjectured that this instance of the CDH problem is intractable. Given
, we may check to see if
without knowledge of
,
, and
, by testing whether
holds.
By using the bilinear property
times, we see that if
, then, since
is a prime order group,
.
While first used for
cryptanalysis
Cryptanalysis (from the Greek ''kryptós'', "hidden", and ''analýein'', "to analyze") refers to the process of analyzing information systems in order to understand hidden aspects of the systems. Cryptanalysis is used to breach cryptographic se ...
, pairings have also been used to construct many cryptographic systems for which no other efficient implementation is known, such as
identity-based encryption or
attribute-based encryption schemes. Thus, the security level of some pairing friendly elliptic curves have been later reduced.
Pairing-based cryptography is used in the
KZG cryptographic commitment scheme.
A contemporary example of using bilinear pairings is exemplified in the
BLS digital signature scheme.
Pairing-based cryptography relies on hardness assumptions separate from e.g. the
elliptic-curve cryptography, which is older and has been studied for a longer time.
Cryptanalysis
In June 2012 the
National Institute of Information and Communications Technology (NICT),
Kyushu University, and
Fujitsu Laboratories Limited improved the previous bound for successfully computing a discrete logarithm on a
supersingular elliptic curve from 676 bits to 923 bits.
In 2016, the Extended Tower Number Field Sieve algorithm allowed to reduce the complexity of finding discrete logarithm in some resulting groups of pairings. There are several variants of the multiple and extended tower number field sieve algorithm expanding the applicability and improving the complexity of the algorithm. A unified description of all such algorithms with further improvements was published in 2019. In view of these advances, several works
provided revised concrete estimates on the key sizes of secure pairing-based cryptosystems.
References
{{Reflist
External links
Lecture on Pairing-Based CryptographyBen Lynn's PBC Library
Elliptic curve cryptography