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Rank error-correcting code

Error-correcting code

In coding theory, rank codes (also called Gabidulin codes) are non-binary linear error-correcting codes over not Hamming but rank metric. They described a systematic way of building codes that could detect and correct multiple random rank errors. By adding redundancy with coding k-symbol word to a n-symbol word, a rank code can correct any errors of rank up to t =  (d  1) / 2 ⌋, where d is a code distance. As an erasure code, it can correct up to d 1 known erasures.

A rank code is an algebraic linear code over the finite field GF(q^{N}) similar to Reed-Solomon code.

The rank of the vector over GF(q^{N}) is the maximum number of linearly independent components over GF(q). The rank distance between two vectors over GF(q^{N}) is the rank of the difference of these vectors.

The rank code corrects all errors with rank of the error vector not greater than t.

01Rank metric

Let X^{n} be an n-dimensional vector space over the finite field GF\left({q^{N}}\right), where q is a power of a prime and N is a positive integer. Let \left(u_{1},u_{2},\dots ,u_{N}\right), with u_{i}\in GF(q^{N}), be a base of GF\left({q^{N}}\right) as a vector space over the field GF\left({q}\right).

Every element x_{i}\in GF\left({q^{N}}\right) can be represented as x_{i}=a_{1i}u_{1}+a_{2i}u_{2}+\dots +a_{Ni}u_{N}. Hence, every vector {\vec {x}}=\left({x_{1},x_{2},\dots ,x_{n}}\right) over GF\left({q^{N}}\right) can be written as matrix:

{\vec {x}}=\left\|{\begin{array}{*{20}c}a_{1,1}&a_{1,2}&\ldots &a_{1,n}\\a_{2,1}&a_{2,2}&\ldots &a_{2,n}\\\ldots &\ldots &\ldots &\ldots \\a_{N,1}&a_{N,2}&\ldots &a_{N,n}\end{array}}\right\|

Rank of the vector {\vec {x}} over the field GF\left({q^{N}}\right) is a rank of the corresponding matrix A\left({\vec {x}}\right) over the field GF\left({q}\right) denoted by r\left({{\vec {x}};q}\right).

The set of all vectors {\vec {x}} is a space X^{n}=A_{N}^{n}. The map {\vec {x}}\to r\left({\vec {x}};q\right)) defines a norm over X^{n} and a rank metric:

d\left({{\vec {x}};{\vec {y}}}\right)=r\left({{\vec {x}}-{\vec {y}};q}\right)

02Rank code

A set \{x_{1},x_{2},\dots ,x_{n}\} of vectors from X^{n} is called a code with code distance d=\min d\left(x_{i},x_{j}\right). If the set also forms a k-dimensional subspace of X^{n}, then it is called a linear (n, k)-code with distance d. Such a linear rank metric code always satisfies the Singleton bound d\leq n-k+1 with equality.

03Generating matrix

There are several known constructions of rank codes, which are maximum rank distance (or MRD) codes with d = n  k + 1. The easiest one to construct is known as the (generalized) Gabidulin code, it was discovered first by Delsarte (who called it a Singleton system) and later by Gabidulin (and Kshevetskiy ).

Let's define a Frobenius power [i] of the element x\in GF(q^{N}) as

x^{[i]}=x^{q^{i\mod N}}.\,

Then, every vector {\vec {g}}=(g_{1},g_{2},\dots ,g_{n}),~g_{i}\in GF(q^{N}),~n\leq N, linearly independent over GF(q), defines a generating matrix of the MRD (n, k, d = n  k + 1)-code.

G=\left\|{\begin{array}{*{20}c}g_{1}&g_{2}&\dots &g_{n}\\g_{1}^{[m]}&g_{2}^{[m]}&\dots &g_{n}^{[m]}\\g_{1}^{[2m]}&g_{2}^{[2m]}&\dots &g_{n}^{[2m]}\\\dots &\dots &\dots &\dots \\g_{1}^{[(k-1)m]}&g_{2}^{[(k-1)m]}&\dots &g_{n}^{[(k-1)m]}\end{array}}\right\|,

where \gcd(m,N)=1.

04Applications

There are several proposals for public-key cryptosystems based on rank codes. However, most of them have been proven insecure (see e.g. Journal of Cryptology, April 2008).

Rank codes are also useful for error and erasure correction in network coding.

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Sources and credits

This article is adapted from the Wikipedia article Rank error-correcting code, written by its contributors and licensed under CC BY-SA 4.0. Fathomly has changed the layout, removed citation markers, navigation and maintenance notices, and adjusted punctuation. This adapted version is shared under the same license. For references, see the original article.

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